<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>How Social Desirability Bias Impacts the Expression of Emotions</titl><IDNo agency="DOI">doi:10.7910/DVN/0GCD1H</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2025-04-21</distDate></distStmt><verStmt source="archive"><version date="2025-05-12" type="RELEASED">2</version></verStmt><biblCit>Oceno, Marzia, 2025, "How Social Desirability Bias Impacts the Expression of Emotions", https://doi.org/10.7910/DVN/0GCD1H, Harvard Dataverse, V2, UNF:6:yyZUXAG+F2MAAufi4hgLFg== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>How Social Desirability Bias Impacts the Expression of Emotions</titl><IDNo agency="DOI">doi:10.7910/DVN/0GCD1H</IDNo></titlStmt><rspStmt><AuthEnty>Oceno, Marzia</AuthEnty></rspStmt><prodStmt><producer>Enter your name here: LastName, FirstName</producer></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact email="moceno@fiu.edu">Oceno, Marzia</contact><depositr>Oceno, Marzia</depositr><depDate>2024-12-16</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/0GCD1H"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword></subject><abstract>Emotions and their impact on socio-political behavior have received increasing scholarly attention. However, it remains largely unclear whether and to what extent emotional expression within surveys is subject to social desirability bias, similarly to a broad range of self-reported sensitive attitudes and behaviors. By drawing on impression management theory and the disclosure decision model, I argue that emotional expression is likely to be prone to social desirability bias in interviewer-administered survey modes and test my hypotheses on mixed-mode ANES data. The findings demonstrate that respondents significantly underreport negative emotions – anger and fear – when interviewed face-to-face as compared to online. Further, positive emotions, such as hope and pride, are not exempt from biased reporting related to interview mode. These results advance our understanding of mode effects and social desirability and highlight the risks of estimating emotions and their salience by either relying on interviewer administration or combining survey modes.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f10788397" URI="https://dataverse.harvard.edu/api/access/datafile/10788397"><fileTxt><fileName>anes_timeseries_2016.tab</fileName><dimensns><caseQnty>4270</caseQnty><varQnty>1887</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:WU6DTdrm/ReNs8Lp4LSnbQ==</notes></fileDscr><dataDscr><var ID="v35512659" name="version" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Version of ANES 2016 Time Series release</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:APdxWfxebjUAzTLHjM8SBQ==</notes></var><var ID="v35513560" name="V160001" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 Case ID</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1534.481247263045</sumStat><sumStat type="medn">2955.5</sumStat><sumStat type="max">5090.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">2728.895784543294</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oT974DWQxScDY6nT+Omt0w==</notes></var><var ID="v35513336" name="V160001_orig" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Original (6-digit) Westat Case ID</labl><sumStat type="mode">.</sumStat><sumStat type="min">300001.0</sumStat><sumStat type="stdev">45871.35814729344</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">407800.0</sumStat><sumStat type="mean">375591.46299765713</sumStat><sumStat type="medn">402424.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Pf+yecQgj7SeG8fdxxiDVw==</notes></var><var ID="v35512807" name="V160101" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Pre-election weight -full sample</labl><sumStat type="min">0.0895</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6695908257996152</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.824</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.999818524590164</sumStat><sumStat type="max">6.8139</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iMVnkXRpeAknC3YRloTOoQ==</notes></var><var ID="v35512834" name="V160101f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Pre-election weight -FTF sample</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.27613442622949624</sumStat><sumStat type="max">7.3088</sumStat><sumStat type="stdev">0.5883975629074313</sumStat><sumStat type="medn">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:udkgf8/eIYMmFfsCcKyj7g==</notes></var><var ID="v35514013" name="V160101w" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Pre-election weight -Web sample</labl><sumStat type="medn">0.66</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.7236531850117112</sumStat><sumStat type="stdev">0.7093067508692493</sumStat><sumStat type="max">5.9279</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qEv7or/PMljzlb+KzO83fQ==</notes></var><var ID="v35513525" name="V160102" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Post-election weight -full sample</labl><sumStat type="medn">0.7481</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">6.4445</sumStat><sumStat type="stdev">0.7190865081014326</sumStat><sumStat type="mean">0.8540799531615926</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wQAjevIGb/6PqkMll9ib5g==</notes></var><var ID="v35513473" name="V160102f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Post-election weight -FTF sample</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.565486508804699</sumStat><sumStat type="mean">0.24755384074941156</sumStat><sumStat type="max">6.6748</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v5pFgK3e4pMmkjwAnDDhNg==</notes></var><var ID="v35514213" name="V160102w" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Post-election weight -Web sample</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.7067006300385437</sumStat><sumStat type="max">6.1132</sumStat><sumStat type="medn">0.469</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.6065574004683797</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ry/mufdgB32jWOyQGIjA3A==</notes></var><var ID="v35513310" name="V160201" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Stratum -full sample</labl><sumStat type="max">133.0</sumStat><sumStat type="stdev">38.70484430582223</sumStat><sumStat type="medn">71.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">69.5751756440272</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ChmOfI4rqmIL/N7EHbLEAA==</notes></var><var ID="v35513436" name="V160201f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Stratum -FTF sample</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">33.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">9.020552878895653</sumStat><sumStat type="mean">4.757611241218034</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7BA3B1stwtGReOZGKjFs0g==</notes></var><var ID="v35513621" name="V160201w" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Stratum -Web sample</labl><sumStat type="stdev">33.72154640527539</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">100.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">32.0</sumStat><sumStat type="mean">37.18290398126423</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IxdDTyIgYZYzusXkcbYD/g==</notes></var><var ID="v35513028" name="V160202" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Variance PSU -Full sample</labl><sumStat type="medn">1.5</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.509319638409954</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.5046838407494143</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ywdhAuaMxRHK6wEqgC1HKA==</notes></var><var ID="v35514190" name="V160202f" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Variance PSU -FTF sample</labl><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">0.728747246349245</sumStat><sumStat type="mean">0.4156908665105561</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EVoVE6JZFu/biprDFH7C1g==</notes></var><var ID="v35512656" name="V160202w" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Variance PSU -Web sample</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.7961877234834551</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.0889929742388873</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t8IAPSv4eD2BVBCveO1fJQ==</notes></var><var ID="v35513282" name="V160501" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Mode of interview</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.7236533957845253</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">0.44724266685013125</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. FTF/CASI</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Web</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZZItpr8ES1Uw9awsvmXQdA==</notes></var><var ID="v35512922" name="V160502" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">Completed Pre only or completed Pre and Post interviews</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.8543325526932088</sumStat><sumStat type="stdev">0.35281382308977555</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Pre and Post interviews completed</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Pre interview completed- no completed Post interview</labl><catStat type="freq">622</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o0DNiczh29PEovq1+3OTQw==</notes></var><var ID="v35513425" name="V161001" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: Audio Consent</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">1.1549911623448899</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.38688524590166284</sumStat><catgry><catValu>7</catValu><labl level="category">7. Refuse to allow audio recording</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Continue</labl><catStat type="freq">1137</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yx3L4zdQQEkk7t0V4V75yQ==</notes></var><var ID="v35514419" name="V161002" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: INTERVIEWER : Is R male or female (Observation)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.1595874330388436</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.3021077283372465</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">560</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">620</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:StUyIrwmeiOEh+YZyEWq/A==</notes></var><var ID="v35513377" name="V161003" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: How often does R pay attn to politics and elections</labl><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.1016901889940536</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">2.505386416861828</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Always</labl><catStat type="freq">863</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">1496</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">942</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">885</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jPYcSWIrPQeQw++TueqBkg==</notes></var><var ID="v35512958" name="V161004" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: How interested in following campaigns</labl><sumStat type="mean">1.5997658079625292</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.6958363885611236</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very much interested</labl><catStat type="freq">2230</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not much interested</labl><catStat type="freq">521</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat interested</labl><catStat type="freq">1519</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i9En9LpRw2dx1uTfO0rKxw==</notes></var><var ID="v35513024" name="V161005" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote for President in 2012</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.2320843091334897</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.7245331854130431</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, voted</labl><catStat type="freq">3117</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote</labl><catStat type="freq">1137</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZHaeioncjfcs9nDrWT1H3Q==</notes></var><var ID="v35512686" name="V161006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Recall of last (2012) Presidential vote choice</labl><sumStat type="max">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.677283372365341</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.689903359103829</sumStat><catgry><catValu>6</catValu><labl level="category">6. Other specify - specified as:  Did not vote/did not vote for President in 2012 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161005 </labl><catStat type="freq">1153</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Barack Obama</labl><catStat type="freq">1728</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Other specify - specified as: DK/don't remember (Web only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mitt Romney</labl><catStat type="freq">1268</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">58</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w18ApwY0Z2TH77LOO5w5ww==</notes></var><var ID="v35513177" name="V161007" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: HH Internet use</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.9572737514237715</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.4227166276346721</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1065</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">114</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BQo5Fh0A+cfNnGQ++zgRhQ==</notes></var><var ID="v35513045" name="V161008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Days in week watch/listen/read news on any media</labl><sumStat type="stdev">2.0050535130362768</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.526932084309133</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Four days</labl><catStat type="freq">266</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Seven days</labl><catStat type="freq">2293</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One day</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Five days</labl><catStat type="freq">641</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Six days</labl><catStat type="freq">307</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three days</labl><catStat type="freq">287</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Two days</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. None</labl><catStat type="freq">73</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gKmb3zCL+4fGHtrpGiDjdA==</notes></var><var ID="v35513889" name="V161009" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Attention to news on any media</labl><sumStat type="mean">2.457845433255269</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.1724078705959704</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1071</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">909</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 0,-8,-9 in V161008 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">748</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1391</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SwWIboTWaA10Ph9lwalz2w==</notes></var><var ID="v35512570" name="V161010a" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- order of major party candidate names / FTF BallotColor</labl><sumStat type="stdev">0.5000558705233911</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.4983606557377043</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican candidate names 1st /FTF green Ballot Card</labl><catStat type="freq">2128</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic candidate names 1st /FTF yellow Ballot Card</labl><catStat type="freq">2142</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jzM/fDBv36m/j2CUY80BoQ==</notes></var><var ID="v35513048" name="V161010b" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- household address preloaded (sample address)</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Sample address preloaded</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Sample address not preloaded</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cp6qoR9NBid12+AKAiN5KQ==</notes></var><var ID="v35512892" name="V161010c" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- candidate names preloaded for sample address</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.20929629145632067</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.9540983606557392</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. No candidate names preloaded for location of sample address</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate names preloaded for location of sample address</labl><catStat type="freq">4074</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ciki9T9Z5ZGII2izV6AzQA==</notes></var><var ID="v35513152" name="V161010d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- FIPS state code for sample address</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">27.88946135831381</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">15.754706642514467</sumStat><sumStat type="max">56.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">27.0</sumStat><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">329</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">60</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jzJri97U3IwanlExDP42Vg==</notes></var><var ID="v35513469" name="V161010e" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- 2-char state Postal abbreviation for sample address</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fG6CmKwgq7zlgE/3yQ96ow==</notes></var><var ID="v35513860" name="V161010f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Vote section- U.S. House District number (115th Congress) for sample addres</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mean">9.228337236533962</sumStat><sumStat type="max">53.0</sumStat><sumStat type="stdev">9.907494024877211</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YYUz5UsHQjtm9FlYi/hbAQ==</notes></var><var ID="v35513251" name="V161011" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is R registered to vote (pre-election)</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.8347776593302834</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.360889929742389</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not currently registered</labl><catStat type="freq">605</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Registered at a different address</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Registered at this address</labl><catStat type="freq">3251</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ep+4UeS9GW6bt/V6Zkfkrg==</notes></var><var ID="v35512870" name="V161011a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE WEB: Is R registered (registration address not answered)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.13430010156654681</sumStat><sumStat type="mean">-1.0007025761124122</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category"> 1. Yes</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode/WEB: 1,2,3 in V161011 </labl><catStat type="freq">4267</catStat></catgry><catgry><catValu>2</catValu><labl level="category"> 2. No</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VYvdriKqtd4pCgk7yYwqAg==</notes></var><var ID="v35513604" name="V161012" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Address of registration given (not registered at sample address)</labl><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.806088992974239</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.6020659532668111</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">3863</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Registration address not given</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Partial address given for registration address</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Registration address given</labl><catStat type="freq">383</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IR0ncd6rcblH0lFQ3bJVwQ==</notes></var><var ID="v35513583" name="V161013a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: State included in address of registration (not registered at samp addr)</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.8105386416861831</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.5847531349965698</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. State not included for registration address</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">3863</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. State included for registration address</labl><catStat type="freq">402</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qq+KydVU6gkJ6fQzqGihnQ==</notes></var><var ID="v35512881" name="V161013b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: City included in address of registration (not registered at samp addr)</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.5851535889668402</sumStat><sumStat type="mean">-0.8105386416861831</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. City not included for registration address</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. City included in incorrect field (other field)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. City included for registration address</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">3863</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uhhctojRklAbdcsZwT6BpA==</notes></var><var ID="v35512693" name="V161014" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: State of registration - reg state not given (not registered at samp addr)</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9669789227166256</sumStat><sumStat type="max">48.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.133235223879407</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1 in V161013a/1,3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">4265</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hOAm7FA1zIBuZd/QdtiPBw==</notes></var><var ID="v35513648" name="V161015a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Registration state same as sample address state (all registrations)</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.69344262295082</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.7066455609452231</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. State of registration same as state of sample address</labl><catStat type="freq">3573</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. State of registration is not same as state of sample address</labl><catStat type="freq">85</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TR5401+xE33fyx1u4IVZkA==</notes></var><var ID="v35513283" name="V161015b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Registration state (all registrations)</labl><sumStat type="max">56.0</sumStat><sumStat type="stdev">17.630408551669667</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">24.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">23.64730679156909</sumStat><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">152</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ULI5A4CGmu50hmk1sgBeNg==</notes></var><var ID="v35513647" name="V161015c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Senate race in state of registration (all registrations)</labl><sumStat type="min">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.4716627634660417</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.732102162019391</sumStat><catgry><catValu>1</catValu><labl level="category">1. Senate race in state of registration</labl><catStat type="freq">2626</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No Senate race in state of registration</labl><catStat type="freq">1032</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i6+oWi6wdHPNaWKfdB2khg==</notes></var><var ID="v35512772" name="V161015d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Governor race in state of registration (all registrations)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.514255545655572</sumStat><sumStat type="mean">-0.021779859484777408</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. No Governor race in state of registration</labl><catStat type="freq">3139</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Governor race in state of registration</labl><catStat type="freq">519</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bE8SkEkhinI2Gnq2y3iZsg==</notes></var><var ID="v35513295" name="V161015e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party registration in state of registration (all registrations)</labl><sumStat type="mean">0.3529274004683836</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.7177334786204808</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. No party registration in state of registration</labl><catStat type="freq">1539</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Party registration in state of registration</labl><catStat type="freq">2119</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e8N50zx4HCmaev+Vbn31NQ==</notes></var><var ID="v35513919" name="V161016" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is R registered to vote in preload county (resid)</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6255624839135715</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.8306791569086647</sumStat><catgry><catValu>5</catValu><labl level="category">5. R VOLUNTEERS: [county of sample address] is incorrect</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, registered in other county</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V161011 and 0 in V161015a/2 in V161013b/1,3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">3948</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, registered in [county of sample address]</labl><catStat type="freq">232</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VGwRow1WJCY+Ejcd9/snow==</notes></var><var ID="v35512604" name="V161017" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How many years has R been registered at registration location</labl><sumStat type="mean">1.832084309133489</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.4500833531222554</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V161011 and 0,2 in V161013b/3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">618</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 0-1 years</labl><catStat type="freq">803</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5 years or more</labl><catStat type="freq">2011</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2-5 years</labl><catStat type="freq">831</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NZsY1fVT/tTSNu/h2+c5WQ==</notes></var><var ID="v35513035" name="V161018" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Was name recorded for registration name</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.7060889929742397</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.742597053098576</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. No name recorded /non-name response</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. RESTRICTED: Recorded, two words that appear to be first/last names</labl><catStat type="freq">3383</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. RESTRICTED: Partially recorded: one word as name, or initial(s) only</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ppe7Z0R0oxwLa936dNFZ0A==</notes></var><var ID="v35513795" name="V161019" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party of registration</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.837921442165971</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">0.4594847775175646</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. None or 'independent'</labl><catStat type="freq">471</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic party</labl><catStat type="freq">924</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)/WEB: other specify - specified as: Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican party</labl><catStat type="freq">682</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 0 in V161015e/3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">2151</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XUIv7508MT58IpJukX0fRA==</notes></var><var ID="v35513971" name="V161020" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R intend to register to vote</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mean">-0.6388758782201404</sumStat><sumStat type="stdev">0.971260311500043</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,2 in V161011/WEB: 1,-9 in V161011a</labl><catStat type="freq">3659</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, intend to register</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, do not intend to register</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jaMUvYfvwO64eEkwqHKuDg==</notes></var><var ID="v35512607" name="V161021" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote in a Presidential primary or caucus</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6233989880494709</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.5444964871194375</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote in primary or caucus</labl><catStat type="freq">2382</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted in primary or caucus</labl><catStat type="freq">1882</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7GIrJYXdFr2qF7EdWp98/g==</notes></var><var ID="v35513527" name="V161021a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For which candidate did R vote in Presidential prim</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.8100702576112393</sumStat><sumStat type="stdev">2.529237188170156</sumStat><sumStat type="max">9.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">579</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Another Republican</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Someone else who is not a Republican or Democrat</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Marco Rubio</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Bernie Sanders</labl><catStat type="freq">392</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Another Democrat</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. John Kasich</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Donald Trump</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ted Cruz</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161021 </labl><catStat type="freq">2388</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gaFl+698QzeOqUkQFzzUFQ==</notes></var><var ID="v35514070" name="V161022" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Already voted in General Election</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.520608899297424</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.0776468139537563</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">612</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not voted</labl><catStat type="freq">3467</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have voted</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EzfQQRJAuORViCKZC1AR/Q==</notes></var><var ID="v35512615" name="V161022a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Confirmation voted (early) in November 8 election</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9037470725995316</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.45439475699387505</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161022/3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">4081</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not voted</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3fxomloPVPlQc6wm9TA/5Q==</notes></var><var ID="v35513215" name="V161023" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: In what manner did R vote</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9060889929742388</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.49294428723423356</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Definitely voted in some other way</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161022/2 in V161022a/3 in V161011/FTF: -8,-9 in V161011/WEB: 2,-9 in V161011a</labl><catStat type="freq">4114</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not completely sure whether you voted or not</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Definitely voted in person at a polling place before election day</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Definitely voted by mailing a ballot to elections officials before election day</labl><catStat type="freq">83</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UpQm5oV9n1aw+ZPd3hfYDw==</notes></var><var ID="v35513816" name="V161024x" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Registration and early vote status</labl><sumStat type="min">1.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.8039812646370024</sumStat><sumStat type="stdev">0.6396979549212405</sumStat><catgry><catValu>1</catValu><labl level="category">1. Not (or DK/RF if) registered, does not intend to register or DK/RF intent</labl><catStat type="freq">381</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not (or DK/RF if) registered, intends to register</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Registered and voted early</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Registered but did not vote early (or DK/RF if voted early)</labl><catStat type="freq">3502</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:d+0brlQo/EnqeuaYC4tvSw==</notes></var><var ID="v35514161" name="V161025" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: IWR CHECKPOINT: have correct Pre ballot card</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1807580065708148</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.3456674473067707</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, have [yellow/green] color Ballot Card for R's district</labl><catStat type="freq">837</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have Ballot Card in wrong color for R's district</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V161016/0 in V161015a/Web mode</labl><catStat type="freq">3149</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Only have card(s) for wrong district or have no ballot cards</labl><catStat type="freq">268</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kKlQxOW1OwDTMKQ5KpG+wQ==</notes></var><var ID="v35512683" name="V161025a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: IWR error at Ballot Card checkpoint</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.9028964440657665</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.48243559718965806</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V161016/0 in V161015a/Web mode</labl><catStat type="freq">3149</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Ballot card used, names applicable for use</labl><catStat type="freq">853</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Ballot card not used, names not applicable for use</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Ballot card not used as IWR error</labl><catStat type="freq">150</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CYUaok8zgMoAZP+vcCn4DA==</notes></var><var ID="v35512745" name="V161025x" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - administration of Pre vote module</labl><sumStat type="max">7.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.421779859484771</sumStat><sumStat type="stdev">1.0431512604296556</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Not used (open-end responses) - R voted</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Used Ballot Card/preload names - R not registered (or DK/RF if), no intent to register</labl><catStat type="freq">352</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not used (open-end responses) - R registered/intends to register</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Used Ballot Card/preload names - R voted</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Program err:  names preloaded but not used - R reg/intends reg [Web only 8 cases])</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Use Ballot Card/preload names - R registered/intends to register</labl><catStat type="freq">3261</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Not used (open-end responses) - R not registered (or DK/RF if), no intent to register</labl><catStat type="freq">29</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xGNi6f3VsTgbZ7SdKXcQaA==</notes></var><var ID="v35514225" name="V161026" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote for President in 2016</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.37978995041676955</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9262295081967215</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1-3 in V161024x</labl><catStat type="freq">4114</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote for President</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted for President</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Qc7Jr/o4pDl84Rg3fVDWGg==</notes></var><var ID="v35513005" name="V161027" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom did R vote for President</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.566969036848852</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.9194379391100702</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161026/1-3 in V161024x</labl><catStat type="freq">4117</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Jill Stein</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:80mZLCbfZ3PWrP+t3cM6oA==</notes></var><var ID="v35513926" name="V161028" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Preference strong for Pres cand for whom R voted</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.4126157308611935</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.9231850117096017</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -8,-9 in V161027/2,-8,-9 in V161026/1-3 in V161024x</labl><catStat type="freq">4122</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strong</labl><catStat type="freq">32</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6XghIuxdFwG1toowCgfnuQ==</notes></var><var ID="v35513570" name="V161029a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Placehold Text- How long before election R made decision Pres vote</labl><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513507" name="V161029b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Placeholder Code- How long before election R made decision Pres vote</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.801676108093304</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mean">-0.363700234192037</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. More than 3 months/less than 6 months; few months/several months; during convention; when she/he was nominated; summe</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Not answered; The answer recorded by the interviewer is uninterpretable</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. One month</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Two to three months; a couple of months; after the convention; after she/he was nominated</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Specific event; the answer mentions an event other than the convention, nomination, primaries, or caucuses</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. One day</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. That day; when I walked into the booth</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Other; the answer does not mention a time frame or a specific event</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4117</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. One week</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. More than six months; during the primaries; during the caucuses; all the time</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Six months</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Longer than a week [response to probe]</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. More than one week/less than one month; a few weeks; a couple of weeks</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. More than one day/less than one week; a few days; a couple of days</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. More than one month/less than two months</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TIdPOfYmVYZGxKHEL3WqJw==</notes></var><var ID="v35513884" name="V161030" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R intend to vote for President</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.0159757914143186</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.7405152224824403</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">221</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">3484</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,4 in V161024x</labl><catStat type="freq">537</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZFnSptJgVFRBZYchMEzGyg==</notes></var><var ID="v35512757" name="V161031" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for President</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.0166276346604313</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.1291086491097775</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Other specify - specified as: none/no one/NA</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">227</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">1570</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other specify - specified as: DK</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify - specified as: RF</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">1357</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Jill Stein</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161030/1,4 in V161024x</labl><catStat type="freq">786</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:h+MeddFocZmHUMCR+yea1A==</notes></var><var ID="v35513838" name="V161032" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pref strng for Pres cand for whom R intends to vote</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.8374707259953238</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.0946327332780486</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">2205</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strong</labl><catStat type="freq">1158</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -8,-9 in V161031/2,-8,-9 in V161030/1,4 in V161024x</labl><catStat type="freq">902</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CuLJNQVhVu9iM/rMYGazPg==</notes></var><var ID="v35512552" name="V161033" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R prefer Pres cand (no intent to register)</labl><sumStat type="stdev">0.7560900371739124</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.7681498829039813</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,3,4 in V161024x/WEB: 1 in V161011a and 1 in V161024x</labl><catStat type="freq">3890</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xeYaig6Z2d4BFYwBWm7Dig==</notes></var><var ID="v35514406" name="V161034" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Preference for Pres cand (no intent to register)</labl><sumStat type="max">6.0</sumStat><sumStat type="mean">-0.9018735362997657</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.5496831455345761</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Jill Stein</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other specify - specified as: DK</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161033/2,3,4 in V161024x/WEB: 1 in V161011a and 1 in V161024x</labl><catStat type="freq">4120</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vqkonhUWEuiO4xMMRO+heg==</notes></var><var ID="v35513937" name="V161035" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Preference strong for Pres cand (no intent to reg)</labl><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.4700555343832707</sumStat><sumStat type="mean">-0.9208430913348944</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -8,-9 in V161034/2,-8,-9 in V161033/2,3,4 in V161024x/WEB: 1 in V161011a and 1 in V161024x</labl><catStat type="freq">4120</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strong</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GOYD0+1UuG9E8tvtqtG5CA==</notes></var><var ID="v35512844" name="V161036" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote for U.S. House of Representatives</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9245901639344265</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.44614326381758174</sumStat><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote for House of Representatives</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,3,5,6,7 in V161025x</labl><catStat type="freq">4114</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted for House of Representatives</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:le1kyxYqdlaNI/B6DV1utQ==</notes></var><var ID="v35513147" name="V161037" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom did R vote for U.S. House (ballot card)</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.938407494145199</sumStat><sumStat type="stdev">0.45577452964083376</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democratic House candidate</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other House candidate (name on Ballot Card)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican House candidate</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R VOL: names on ballot card are not correct {VOTE RECORDED ON NEXT SCREEN} [VOLUNTEERED]</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1 in V161025x and 2,-8,-9 in V161036/2,3,4,5,6,7 in V161025x</labl><catStat type="freq">4160</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HjY7uC7mFrADXx4UZ9kL3A==</notes></var><var ID="v35512767" name="V161038" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom did R vote for U.S. House (no ballot card)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9925058548009366</sumStat><sumStat type="stdev">0.20634136702447498</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V161037/4 in V161025x and 2,-8,-9 in V161036/2,3,5,6,7 in V161025x</labl><catStat type="freq">4255</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yIgGH6ailLrtskkLc7Z0Ig==</notes></var><var ID="v35512889" name="V161039" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R intend to vote for U.S. House</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.827634660421541</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.2536327264793978</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2919</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">767</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,3,4,6 in V161025x</labl><catStat type="freq">537</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GoDFbCAdPe9aG8MX7WcO1g==</notes></var><var ID="v35514148" name="V161040" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for U.S. House (ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.2297423887587844</sumStat><sumStat type="stdev">2.2662764767895784</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161039 and 2 in V161025x/1,3,4,5,6,7 in V161025x</labl><catStat type="freq">1690</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic House candidate</labl><catStat type="freq">1124</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican House candidate</labl><catStat type="freq">1153</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Other specify - specified as none/neither</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other House candidate (name on Ballot Card)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R VOL: names on ballot card are not correct {VOTE RECORDED ON NEXT SCREEN} [VOLUNTEERED]</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JWffAQz7PgeJQVCk4aNllg==</notes></var><var ID="v35514412" name="V161041" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for U.S. House (no ballot cd)</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9194379391100697</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.099019628612044</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap 2 in V161025x, 1 in V161039 and 1,2,3,5,9,-8,-9 in V161040/2,-8,-9 in V161039/1,3,4,6 in V161025x</labl><catStat type="freq">3917</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">21</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bb3lS9NZA2gW9MzhQNxdtQ==</notes></var><var ID="v35513284" name="V161042" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R prefer U.S. House candidate</labl><sumStat type="min">-8.0</sumStat><sumStat type="stdev">0.8550636708180976</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.756206088992974</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,2,4,5,7 in V161025x/3 in V161025x and -9 in V161011a (WEB 1 case)</labl><catStat type="freq">3890</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">326</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+rgcEPJDajcTRfKr5kxQBw==</notes></var><var ID="v35513530" name="V161043" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for U.S. House (ballot card)</labl><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9711943793911009</sumStat><sumStat type="stdev">0.31938132271018144</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican House candidate</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other House candidate (name on Ballot Card)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic House candidate</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V161025x and 2,-8,-9 in V161042/1,2,4,5,6,7 in V161025x/3 in V161025x and -9 in V161011a (WEB 1 case)</labl><catStat type="freq">4221</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R VOL: names on ballot card are not correct {VOTE RECORDED ON NEXT SCREEN} [VOLUNTEERED]</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OqmDI5UgzKHoD09R2xWbDg==</notes></var><var ID="v35512915" name="V161044" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for U.S. House (no ballot card)</labl><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap 2,-8,-9 in V161042 and 3,6 in V161025x/1,2,3,5,-8,-9 in V161043 and 3 in V161025x/1,2,4,5,7 in V161025x/3 in</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513778" name="V161045x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE SUMMARY: Senate and Governor races</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">11.0</sumStat><sumStat type="mean">10.767681498829058</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">31.0</sumStat><sumStat type="stdev">8.987922195068066</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">00. No Senate/Governor race- samp address state (R not registered)</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Governor race- registration state (R registered)</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Senate race- sample address state (R not registered)</labl><catStat type="freq">348</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Senate race- registration state (R registered)</labl><catStat type="freq">2142</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Governor race- samp address state (R not registered)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. No Senate/Governor race- registration state (R registered)</labl><catStat type="freq">997</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Senate and Governor races- registration state (R registered)</labl><catStat type="freq">484</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Senate and Governor races- samp address state (R not registered)</labl><catStat type="freq">68</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mbJseShAT1vPYAaG5n4UzA==</notes></var><var ID="v35514191" name="V161046" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote for U.S. Senate</labl><sumStat type="stdev">0.34626327981407684</sumStat><sumStat type="mean">-0.944496487119438</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted for Senate</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap,1,4 in V161025x and 01,21 in V161045x/ 2,3,5,6,7 in V161025x</labl><catStat type="freq">4160</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote for Senate</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DnFVHxBv79COdhRtOYL0qg==</notes></var><var ID="v35514418" name="V161047" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R's vote for U.S. Senate (ballot card)</labl><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.39115218708813143</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9571428571428571</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Senate candidate (name on Ballot Card)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161046/1 in V161025x and 01,21 in V161045x/2,3,4,5,6,7 in V161025x</labl><catStat type="freq">4192</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pVhY6sy0vJQHMCJQsMfoEA==</notes></var><var ID="v35512944" name="V161048" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R's vote for U.S. Senate (no ballot card)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.20463986698243578</sumStat><sumStat type="mean">-0.9927400468384072</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161046/4 in V161025x and 01,21 in V161045x/1,2,3,5,6,7 in V161025x</labl><catStat type="freq">4255</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6Bz3fV7unPhVq+Utd+vXJA==</notes></var><var ID="v35513715" name="V161049" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R intend to vote for U.S. Senate</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.2734895720889103</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.3112412177985976</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2151</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap V161025x in(2,5) and 00,01,20,21 in V161045x/1,3,4,6 in V161025x</labl><catStat type="freq">1605</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">490</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:b+M5L63XdKEfQqPC41YkEA==</notes></var><var ID="v35513693" name="V161050" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for U.S. Senate (ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.854390826612108</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.10702576112411193</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">740</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161049/2 in V161025x and 00,01,20,21 in V161045x/4 in V161040/1,3,4,5,6 in V161025x</labl><catStat type="freq">2355</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">946</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Senate candidate (name on Ballot Card)</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">32</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5eoQyxLAue5L6/LYy26WOw==</notes></var><var ID="v35514395" name="V161051" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for US. Senate (no ballot card)</labl><sumStat type="mean">-0.9569086651053853</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.8995028941788537</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161049/5 in V161025x and 00,01,20,21 in V161045x/1,2,3,5,-8,-9 in V161040/1,2,3,4,6 in V161025x</labl><catStat type="freq">4034</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0U7Gm7RTxDU6nDCIyyr8JQ==</notes></var><var ID="v35513857" name="V161052" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R prefer U.S. Senate candidate</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.7347432892625297</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.8327868852459014</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3,6 in V161025x and 00,20 in V161045x/1,2,4,5,7 in V161025x/3 in V161025x, Senate race in state and -9 in V1 </labl><catStat type="freq">4004</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">227</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">34</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rB8pYV0TxgIsAYZEde/HRA==</notes></var><var ID="v35513541" name="V161053" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for U.S. Senate (ballot card)</labl><sumStat type="mean">-0.9903981264637005</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.2671199838606373</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161052/3 in V161025x and 00,20 in V161045x/1,2,4,5,6,7 in V161025x/ Senate race in state and -9 </labl><catStat type="freq">4236</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Senate candidate (name on Ballot Card)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:erasxCXVAQHa39euM/MRWA==</notes></var><var ID="v35512574" name="V161054" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for U.S. Senate (no ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.045910002583705464</sumStat><sumStat type="min">-4.0</sumStat><sumStat type="mean">-1.0007025761124122</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161052/6 in V161025x and 00,20 in V161045x/1,2,3,4,5,7 in V161025x</labl><catStat type="freq">4269</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZfVOhKchGe8XPbkz7YGovQ==</notes></var><var ID="v35512864" name="V161055" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Did R vote for governor</labl><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.9946135831381733</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.10700036276702465</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote for Governor</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1,4 in V161025x and 01,11 in V161045x/2,3,5,6,7 in V161025x</labl><catStat type="freq">4259</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted for Governor</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NmcLp93PM5EInikwkp8tQA==</notes></var><var ID="v35512650" name="V161056" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R's vote for governor(ballot card)</labl><sumStat type="mean">-0.9943793911007027</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.12421230416725776</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican Governor candidate</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Governor candidate (name on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Governor candidate</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161055/1 in V161025x and 01,11 in V161045x/2,3,4,5,6,7 in V161025x</labl><catStat type="freq">4261</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Sdm3DnCBlycwpuIXJTzqJA==</notes></var><var ID="v35513812" name="V161057" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R's vote for governor (no ballot card)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.04591000258370702</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.9992974238875878</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161055/4 in V161025x and 01,11 in V161045x/1,2,3,5,6,7 in V161025x</labl><catStat type="freq">4269</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WNiA5wBSEr5bYKYmvt2ugw==</notes></var><var ID="v35514005" name="V161058" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R intend to vote for governor</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.7384074941451997</sumStat><sumStat type="stdev">0.7318989524445589</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,5 in V161025x and 00,01,10,11 in V161045x/1,3,4,6,7 in V161025x</labl><catStat type="freq">3739</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">456</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5kBtfHaIOF0L4dwm6/mP1g==</notes></var><var ID="v35513625" name="V161059" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for governor (ballot card)</labl><sumStat type="mean">-0.8145199063231838</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.9014576267623129</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democratic Governor candidate</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Governor candidate (name on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161058/2 in V161025x and 00,01,10,11 in V161045x/1,3,4,5,6,7 in V161025x</labl><catStat type="freq">3869</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Governor candidate</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fqBwcw+umxztCt1MkzYESg==</notes></var><var ID="v35513772" name="V161060" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: For whom does R intend to vote for governor (no ballot card)</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.982201405152225</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.417649758052058</sumStat><sumStat type="max">8.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Other mention given as: DK (WEB, 1 case)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161058/5 in V161025x and 00,01,10,11 in V161045x/1,2,3,4,6,7 in V161025x</labl><catStat type="freq">4215</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YfThQCH6L5UH8vVoqQsenQ==</notes></var><var ID="v35514248" name="V161061" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R prefer gubernatorial candidate</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.312490902228303</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9653395784543325</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3,6 in V161025x and 00,10 in V161945x/1,2,4,5,7 in V161025x</labl><catStat type="freq">4217</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/OOxn50cTmvc1+LV9pILBg==</notes></var><var ID="v35513076" name="V161062" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for governor (ballot card)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9964871194379391</sumStat><sumStat type="min">-4.0</sumStat><sumStat type="stdev">0.12708537531616074</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (name not on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Senate candidate (name on Ballot Card)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161061/3 in V161025x and 00,10 in V161045x/1,2,4,5,6,7 in V161025x</labl><catStat type="freq">4259</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kvbN5rwzjHqDwN6i5IMEpA==</notes></var><var ID="v35513922" name="V161063" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Whom does R prefer for governor (no ballot card)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to program error, or other party mention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V161061/6 in V161025x and 00,10 in V161045x/1,2,3,4,5,7 in V161025x</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35512838" name="V161064x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - party of Pre-election Presidential vote/intent/preference</labl><sumStat type="max">32.0</sumStat><sumStat type="stdev">8.418450967614316</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">20.0</sumStat><sumStat type="mean">17.129508196721265</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>32</catValu><labl level="category">32. Other Presidential candidate: preference (no vote intent)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican Presidential candidate: voted early for candidate</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic Presidential candidate: voted early for candidate</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference</labl><catStat type="freq">691</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic Presidential candidate: preference (no vote intent)</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Republican Presidential candidate: intend to vote for candidate</labl><catStat type="freq">1357</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican Presidential candidate: preference (no vote intent)</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Presidential candidate: intend to vote for candidate</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other Presidential candidate: voted early for candidate</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Democratic Presidential candidate: intend to vote for candidate</labl><catStat type="freq">1570</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CEkfu6UXl9YlYKzkbqAraQ==</notes></var><var ID="v35513898" name="V161065x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - party of Pre-election U.S. House vote/intent/preference</labl><sumStat type="max">32.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">10.245231114968481</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">13.258548009367676</sumStat><sumStat type="medn">20.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Other House candidate: voted early for candidate</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican House candidate: voted early for candidate</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference</labl><catStat type="freq">1415</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other House candidate: preference (no vote intent)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic House candidate: voted early for candidate</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Democratic House candidate: intend to vote for candidate</labl><catStat type="freq">1253</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican House candidate: preference (no vote intent)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other House candidate: intend to vote for candidate</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic House candidate: preference (no vote intent)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Republican House candidate: intend to vote for candidate</labl><catStat type="freq">1296</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ib41h4g4hyHS3MW4Wt1/Pw==</notes></var><var ID="v35513940" name="V161066x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - party of Pre-election U.S. Senate vote/intent/preference</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">10.74769724103211</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">9.441686182669786</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">32.0</sumStat><catgry><catValu>20</catValu><labl level="category">20. Democratic Senate candidate: intend to vote for candidate</labl><catStat type="freq">1041</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Senate candidate: intend to vote for candidate</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic Senate candidate: preference (no vote intent)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference/no Senate race in state</labl><catStat type="freq">2170</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican Senate candidate: voted early for candidate</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Republican Senate candidate: intend to vote for candidate</labl><catStat type="freq">834</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other Senate candidate: preference (no vote intent)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other Senate candidate: voted early for candidate</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic Senate candidate: voted early for candidate</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican Senate candidate: preference (no vote intent)</labl><catStat type="freq">13</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O3uNFDvvDZc40eYwQQGciw==</notes></var><var ID="v35513702" name="V161067x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - party of Pre-election Gubernatorial vote/intent/preference</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">1.2309133489461286</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">31.0</sumStat><sumStat type="stdev">6.584483834662129</sumStat><catgry><catValu>30</catValu><labl level="category">30. Democratic Gubernatorial candidate: preference (no vote intent)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican Gubernatorial candidate: voted early for candidate</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic Gubernatorial candidate: voted early for candidate</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No vote/intent/preference/no Governor race in state</labl><catStat type="freq">3826</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Gubernatorial candidate: intend to vote for candidate</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Republican Gubernatorial candidate: intend to vote for candidate</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other Gubernatorial candidate: voted early for candidate</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Democratic Gubernatorial candidate: intend to vote for candidate</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican Gubernatorial candidate: preference (no vote intent)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other Gubernatorial candidate: preference (no vote intent)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mliSkrIGP7NZpq0wmJ+TXQ==</notes></var><var ID="v35512598" name="V161068" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R likes about Democratic Pres cand</labl><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.5156908665105382</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.7318425473821589</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2317</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1941</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AHbDLcft8QxDHIpgdh7Lw==</notes></var><var ID="v35513278" name="V161069" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What is it that R likes about Democratic Pres cand</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512806" name="V161070a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What is it that R likes about Democratic Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513962" name="V161071" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R dislikes about Democratic Pres cand</labl><sumStat type="stdev">0.8161106963463215</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.3437939110070256</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1643</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2609</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rBaeyDLy6dIcytVwoWiwzw==</notes></var><var ID="v35513492" name="V161072" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What is it that R dislikes about Democratic Pres cand</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513720" name="V161073a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What is it that R dislikes about Democratic Pres cand</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513561" name="V161074" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R likes about Republican Pres cand</labl><sumStat type="mean">1.5281030444964856</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.7855165324098655</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1854</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2401</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+1MSo8Hc2bwyPgtAzQJfFA==</notes></var><var ID="v35513188" name="V161075" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What is it that R likes about Republican Pres cand</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513859" name="V161076a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What is it that R likes about Republican Pres cand</labl><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513697" name="V161077" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R dislikes about Republican Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.7957928527695315</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.2709601873536267</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2921</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1331</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AiqGNcIULqBVK2RIdNtlqA==</notes></var><var ID="v35513195" name="V161078" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What is it that R dislikes about Republican Pres cand</labl><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514372" name="V161079a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What is it that R dislikes about Republican Pres cand</labl><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513410" name="V161080" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approval of Congress handling its job</labl><sumStat type="stdev">1.8366928352975886</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.4215456674473137</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">1010</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">3116</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">124</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ry0QOM2TD/VVNpp/9uOhEw==</notes></var><var ID="v35514351" name="V161080a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength appr disapprove Congress handling its job</labl><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.269086651053864</sumStat><sumStat type="stdev">0.8089768426601592</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1541</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161080 </labl><catStat type="freq">144</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">2574</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Uj8pESbTj/Qut8KowYRC9w==</notes></var><var ID="v35513124" name="V161080x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Approval/disapproval Congress handling job</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.0552693208430988</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.3688428394829952</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161080/V161080a</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">279</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disapprove strongly</labl><catStat type="freq">2295</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">726</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161080/-8,-9 in V161080a</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Disapprove not strongly</labl><catStat type="freq">815</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YnQIwjuQ6n4gLXKa62ZvYg==</notes></var><var ID="v35513886" name="V161081" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Are things in the country on right track</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.0162524299065034</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.659484777517563</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Wrong track</labl><catStat type="freq">3146</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Right direction</labl><catStat type="freq">1089</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oG2X2o0YvonnFqPiDR5pJA==</notes></var><var ID="v35512957" name="V161082" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approve or disapprove President handling job as Pres</labl><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.1330413535473869</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.3747072599531613</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">2193</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">2031</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vhGBfJHy1SImZKQK7NR6Tw==</notes></var><var ID="v35513339" name="V161082a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much approve or disapp Pres handling job</labl><sumStat type="mean">1.223185011709601</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6682409411699907</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161082 </labl><catStat type="freq">46</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1130</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">3085</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TSpiwHTpAJL7ud9CVUVwmg==</notes></var><var ID="v35512748" name="V161082x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Approval/disapproval President handling job</labl><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">2.4634660421545673</sumStat><sumStat type="stdev">1.397032016302422</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disapprove strongly</labl><catStat type="freq">1627</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161082/V161082a</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Disapprove not strongly</labl><catStat type="freq">403</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161082/-8,-9 in V161082a</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">727</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">1458</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9g1XE1s28RyGOeLhOr/GLQ==</notes></var><var ID="v35514100" name="V161083" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approve or disapprove President handling economy</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.1742789745275628</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.371194379391098</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">2160</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">2059</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ceRMqrI4L77eCGoNSE9UXA==</notes></var><var ID="v35514207" name="V161083a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much approve or disapprove Pres handling economy</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.2470725995316152</sumStat><sumStat type="stdev">0.6475964909991396</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1223</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161083 </labl><catStat type="freq">51</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">2989</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YibeXqIY18i66fUFEmiX0A==</notes></var><var ID="v35514110" name="V161083x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Approval/disapproval President handling economy</labl><sumStat type="medn">2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.4960187353629983</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3863971483030915</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161083/V161083a</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Disapprove not strongly</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">1348</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">807</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disapprove strongly</labl><catStat type="freq">1641</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161083/-8,-9 in V161083a</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rU+et17F6I6vvMtlqhofbw==</notes></var><var ID="v35512680" name="V161084" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approve or disapprove President handling foreign rel</labl><sumStat type="mean">1.3444964871194345</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.3538113838086174</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">2138</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">2060</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:62NI0MFfjBaI/Hok9kCECw==</notes></var><var ID="v35513496" name="V161084a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much approve or disapprove Pres handling foreign rel</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.2592505854800962</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.622075655992678</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161084 </labl><catStat type="freq">72</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1289</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">2905</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rvgmLXbzEXeaH1CTFqfyRA==</notes></var><var ID="v35513946" name="V161084x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Approval/disapproval President handling foreign rel</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">1.4016990849785365</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.54824355971897</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161084/-8,-9 in V161084a</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Disapprove not strongly</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disapprove strongly</labl><catStat type="freq">1706</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161084/V161084a</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">857</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">1199</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mv65DeiVk2GvomAVxhdf6A==</notes></var><var ID="v35512954" name="V161085" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approve or disapprove President handling health care</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.4850117096018716</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.1107073531816898</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">1747</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">2479</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">32</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:z3yE0stR+dkBOAXXoQzSpA==</notes></var><var ID="v35512648" name="V161085a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much approve or disapprove Pres handling health care</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.6088257366699209</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.1981264637002345</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">993</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161085 </labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">3227</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M6BSSx17csrgfe/2SfObHw==</notes></var><var ID="v35513428" name="V161085x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Approval/disapproval President handling health care</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">1.3867967405977482</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.7700234192037474</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161085/-8,-9 in V161085a</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">635</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disapprove strongly</labl><catStat type="freq">2119</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Disapprove not strongly</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">1108</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161085/V161085a</labl><catStat type="freq">50</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3SxrXAJWb3vVXOOwLTOXkw==</notes></var><var ID="v35512699" name="V161086" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Democratic Presidential cand</labl><sumStat type="stdev">36.54509416642985</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="medn">40.0</sumStat><sumStat type="mean">40.89391100702574</sumStat><sumStat type="max">100.0</sumStat><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sCacw21E7dRutIufIvuFKQ==</notes></var><var ID="v35514043" name="V161087" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Republican Presidential cand</labl><sumStat type="mean">35.65971896955507</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="stdev">37.16100015416584</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bfXAt8Z2yfTnxoTYK5pSbQ==</notes></var><var ID="v35513117" name="V161088" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Libertarian Presidential cand</labl><sumStat type="mode">.</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="mean">9.960889929742711</sumStat><sumStat type="max">100.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">62.45121491396229</sumStat><sumStat type="medn">49.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">418</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">576</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">50</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t2W6BwQ5+wdulim65yExlA==</notes></var><var ID="v35514326" name="V161089" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Green Party Presidential cand</labl><sumStat type="mean">1.2571428571429542</sumStat><sumStat type="stdev">65.55271903841461</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">100.0</sumStat><sumStat type="medn">40.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-99.0</sumStat><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">703</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">498</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v+Tnp9UwyeN+6HeUziBw+Q==</notes></var><var ID="v35513800" name="V161090" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Democratic Vice-Pres cand</labl><sumStat type="min">-99.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="stdev">60.92747494973306</sumStat><sumStat type="mean">18.630210772833966</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">327</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">461</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">62</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4EepSy+S4yuIW03jQUAjkw==</notes></var><var ID="v35512852" name="V161091" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Republican Vice-Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">58.70533811081332</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mean">26.535597189695668</sumStat><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">286</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">334</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v+nK8j4xAMykfugHYILhkQ==</notes></var><var ID="v35513273" name="V161092" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Previous President</labl><sumStat type="min">-99.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">100.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">37.95596291589859</sumStat><sumStat type="mean">52.32365339578453</sumStat><sumStat type="medn">60.0</sumStat><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6ia+AzdpY5wUSTocadXgaA==</notes></var><var ID="v35512585" name="V161093" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Bill Clinton</labl><sumStat type="mean">47.97728337236535</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="stdev">35.02439934087136</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-99.0</sumStat><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cRluunvAvqy0MGrm635fhA==</notes></var><var ID="v35513797" name="V161094" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Libertarian Vice-Pres cand</labl><sumStat type="max">100.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-18.67025761124104</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">70.5373540999979</sumStat><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">1078</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">812</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nZRxVXwazTp3mF5Vpvjh3g==</notes></var><var ID="v35513883" name="V161095" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Democratic Party</labl><sumStat type="mean">45.813817330210796</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">34.968750848504584</sumStat><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">15</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+Wnm74QxWYLg9MT3z47dLw==</notes></var><var ID="v35512762" name="V161096" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Feeling Thermometer: Republican Party</labl><sumStat type="mean">40.69180327868857</sumStat><sumStat type="stdev">33.43411940499725</sumStat><sumStat type="max">100.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-99.0</sumStat><sumStat type="medn">49.0</sumStat><catgry><catValu>-99</catValu><labl level="category">-99. Refused</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>-89</catValu><labl level="category">-89. FTF ONLY: Don't recognize ('don't know who this is')</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-88</catValu><labl level="category">-88. FTF ONLY: Don't know ('don't know where to rate')</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DpyPS01B03lZerr9uV43wQ==</notes></var><var ID="v35514083" name="V161097" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R likes about Democratic Party</labl><sumStat type="mean">1.4477751756440242</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.9516114064863491</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2183</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2058</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qv2b1f58rRfF0EBMd9cSPA==</notes></var><var ID="v35513355" name="V161098" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What does R like about Democratic party</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513565" name="V161099a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What does R like about Democratic party</labl><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513300" name="V161100" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R dislikes about Democratic Party</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.365339578454335</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.062584818943581</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1927</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2304</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qxDNBOAGZlntdq+lRZbEfw==</notes></var><var ID="v35512628" name="V161101" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What does R dislike about the Democratic party</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514407" name="V161102a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What does R dislike about the Democratic party</labl><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513027" name="V161103" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R likes about Republican Party</labl><sumStat type="mean">1.4566744730679122</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.0232120683781296</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2278</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1957</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8zMQ2PSG3mnka77dQHk1Yg==</notes></var><var ID="v35512982" name="V161104" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What does R like about Republican party</labl><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512900" name="V161105a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What does R like about Republican party</labl><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513567" name="V161106" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is there anything R dislikes about Republican Party</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.0488328039407597</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.3117096018735404</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2541</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1691</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">20</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z8h6STfp+y91Nv9kcKWnyw==</notes></var><var ID="v35513144" name="V161107" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- What does R dislike about the Republican party</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text available in a separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513491" name="V161108a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- What does R dislike about the Republican party</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded data available in a future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512575" name="V161109" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R living with how many family members</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.5827792603786581</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.628805620608898</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">12.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+Bs1Ha3iHYUztD1M4Dw57Q==</notes></var><var ID="v35514374" name="V161110" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R how much better worse off than 1 year ago</labl><sumStat type="mode">.</sumStat><sumStat type="mean">2.9370023419203806</sumStat><sumStat type="stdev">1.1768093359415515</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">1981</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat better off</labl><catStat type="freq">904</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Much worse off</labl><catStat type="freq">311</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat worse off</labl><catStat type="freq">763</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better off</labl><catStat type="freq">298</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mOGwjt49m1qeoPzJpPF94A==</notes></var><var ID="v35513489" name="V161111" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R how much better worse off next year</labl><sumStat type="medn">3.0</sumStat><sumStat type="mean">2.608430913348938</sumStat><sumStat type="stdev">1.4597991184334984</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">2108</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat worse off</labl><catStat type="freq">497</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Much worse off</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better off</labl><catStat type="freq">377</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat better off</labl><catStat type="freq">1115</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HHhV4WDnqAhNEWmmab2vUA==</notes></var><var ID="v35512665" name="V161112" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R have health insurance</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.4671856436640842</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.0737704918032787</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">3890</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w2TfeZNkZO/XMq+edVuChg==</notes></var><var ID="v35513821" name="V161113" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Favor or oppose 2010 health care law</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.8276346604215423</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.7998505233495554</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1808</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">881</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1577</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eZO7P25l75Pq3PDARMI1pA==</notes></var><var ID="v35513721" name="V161114a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength favor 2010 health care law</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.049414519906324894</sumStat><sumStat type="stdev">1.3242758829887622</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">752</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,3,-8,-9 in V161113 </labl><catStat type="freq">2693</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">711</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ksu1oVtfUTzkcY61PNIMXw==</notes></var><var ID="v35513888" name="V161114b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength oppose 2010 health care law</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">0.00515222482435525</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2291728637729054</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,3,-8,-9 in V161113 </labl><catStat type="freq">2462</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1208</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">524</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Habk5pTuapCfsxdsB43gVg==</notes></var><var ID="v35513641" name="V161114x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Summary: favor/oppose 2010 health care law</labl><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.3080847476626887</sumStat><sumStat type="mean">4.2163934426229535</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>6</catValu><labl level="category">6. Oppose moderately</labl><catStat type="freq">524</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">881</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">1208</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor moderately</labl><catStat type="freq">711</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">752</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161114b/-8,-9 in V161114a/-8,-9 in V161113 </labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2E0rYrbscwhioew2Krm9Qw==</notes></var><var ID="v35513224" name="V161115" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Self-evaluation of R health</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.505152224824356</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1546383235656152</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Poor</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Excellent</labl><catStat type="freq">742</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very good</labl><catStat type="freq">1429</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fair</labl><catStat type="freq">604</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Good</labl><catStat type="freq">1341</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e2w/cqLC4QVgQKbmm27OdQ==</notes></var><var ID="v35513832" name="V161116" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Democratic Pres cand: angry</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.610772833723654</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.5972499534612596</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">727</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1233</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">703</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">1166</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6BMb0W2m0ZHAYG6kMcNm6A==</notes></var><var ID="v35512991" name="V161117" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Democratic Pres cand: hopeful</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.4863125097490293</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.1967213114754096</sumStat><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">899</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">741</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1840</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">484</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uZw7DtS3p/EkP9v/vd/7xg==</notes></var><var ID="v35513268" name="V161118" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Democratic Pres cand: afraid</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.4615925058548</sumStat><sumStat type="stdev">1.5851856608982862</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">423</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">650</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1610</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">920</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">657</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9VsGqKNxFoXmlVa0SGxu2w==</notes></var><var ID="v35513167" name="V161119" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Democratic Pres cand: proud</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.1074941451990625</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4309810504590785</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">429</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">686</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1973</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">917</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8bnkdI9K+cGHlnbaK9+iuA==</notes></var><var ID="v35513481" name="V161120" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Democratic Pres cand: disgusted</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.649648711943792</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.67028474512245</sumStat><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">994</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">817</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1348</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">735</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DQghIJqW6ZTz6aJkldkASQ==</notes></var><var ID="v35512830" name="V161121" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Republican Pres cand: angry</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.907259953161588</sumStat><sumStat type="stdev">1.6238786023060146</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">1113</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">841</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">937</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">917</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uhh/T3pEgNFOrenuMctIBA==</notes></var><var ID="v35513807" name="V161122" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Republican Pres cand: hopeful</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.4464174481800112</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.092740046838407</sumStat><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">664</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">2099</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">467</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">756</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">273</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AzJX6w0OtO0EeoihGntwxg==</notes></var><var ID="v35513453" name="V161123" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Republican Pres cand: afraid</labl><sumStat type="stdev">1.6880449049567212</sumStat><sumStat type="mean">2.8049180327868926</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1155</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">444</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">922</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">951</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">781</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Q3UD9Y3ouJ3KL7MAYfzJnw==</notes></var><var ID="v35513071" name="V161124" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Republican Pres cand: proud</labl><sumStat type="max">5.0</sumStat><sumStat type="mean">1.8768149882903984</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.34120463117828</sumStat><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">768</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">444</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">2379</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">476</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">192</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7AlDSraF3fs44bk0xgLHPQ==</notes></var><var ID="v35513404" name="V161125" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Republican Pres cand: disgusted</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.6183437128750464</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.097189695550349</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">750</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">1149</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">1104</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">393</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">862</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:b5R9efgsSr3vRTMKbmdWbg==</notes></var><var ID="v35513734" name="V161126" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale Liberal conservative self-placement</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">25.069789227166282</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="stdev">39.42752439273981</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">894</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">508</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">380</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">703</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF ONLY: DO NOT PROBE)</labl><catStat type="freq">944</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">506</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:T/BF55w8r9LF3/nV9aJSfg==</notes></var><var ID="v35513842" name="V161127" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: If R had to choose liberal or conservative self-placemt</labl><sumStat type="stdev">2.0547609139508927</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.29953161592506655</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,3,5,6,7 in V161126 </labl><catStat type="freq">2409</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Conservative</labl><catStat type="freq">485</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderate</labl><catStat type="freq">993</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Liberal</labl><catStat type="freq">314</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EK3odPiOMpTdg4kE4BSO0A==</notes></var><var ID="v35512556" name="V161128" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale liberal conservative - Dem Pres cand</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.3640351585345862</sumStat><sumStat type="mean">2.429039812646376</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">619</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">694</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">1274</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">1025</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zu7ZA1jqF2saRF4bUflXhw==</notes></var><var ID="v35513848" name="V161129" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale liberal conservative - Rep Pres cand</labl><sumStat type="stdev">3.112307831122903</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.3564402810304275</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">262</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">833</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">614</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">779</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">331</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">1072</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:X8lhyglLeKB+w+1cwdp3Wg==</notes></var><var ID="v35513099" name="V161130" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale liberal conservative Dem party</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">2.430679156908665</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.1899160401552753</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">920</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">603</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">696</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">1496</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NKv619drPqQvLxBVmf7F3w==</notes></var><var ID="v35514138" name="V161131" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale liberal conservative Rep party</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.658499278024585</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">4.958548009367692</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">6.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">574</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">1506</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">963</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">568</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I/4gFpC0VcuHDnyFj82lhQ==</notes></var><var ID="v35513803" name="V161132" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - PLACEMENT 1 or PLACEMENT 2</labl><sumStat type="min">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">11.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.000921618996677</sumStat><sumStat type="max">21.0</sumStat><sumStat type="mean">14.98032786885246</sumStat><catgry><catValu>10</catValu><labl level="category">10. Assigned to early placement - nonvoter (PLACEMENT 1)</labl><catStat type="freq">2074</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Assigned to late placement - voter (PLACEMENT 2)</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Assigned to early placement - voter (PLACEMENT 1)</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Assigned to late placement - nonvoter (PLACEMENT 2)</labl><catStat type="freq">2040</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HpOMqAjvCzXFFqifTGQ42g==</notes></var><var ID="v35513977" name="V161133" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 1: How likely is it R will vote in Nov</labl><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.672738357086893</sumStat><sumStat type="mean">0.3405152224824354</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">1391</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not likely at all</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">259</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, voter (11 in V161132)/late placement (20,21 in V161132)</labl><catStat type="freq">2196</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rZxZ1GT5cY7k1GkEozU2IQ==</notes></var><var ID="v35514052" name="V161134a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT1: Percent for Democratic Pres candidate</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">209.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">29.322299421215757</sumStat><sumStat type="mean">24.33161592505857</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, late placement (20,21 in V161132)</labl><catStat type="freq">2111</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: early placement voter, not asked (11 in V161132)</labl><catStat type="freq">85</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L3XknsvAPoqRD5p+Gi4XYQ==</notes></var><var ID="v35514111" name="V161134b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT1: Percent for Republican Pres candidate</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">25.235988881103466</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">20.28524590163931</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">140.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: early placement voter, not asked (11 in V161132)</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, late placement (20,21 in V161132)</labl><catStat type="freq">2111</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RLnYDKT4nIwymcj2cN/AsQ==</notes></var><var ID="v35514269" name="V161135a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT1: State percent for Democratic Pres candidate</labl><sumStat type="max">900.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">24.04988290398129</sumStat><sumStat type="stdev">32.47962178909665</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: early placement voter, not asked (11 in V161132)</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, late placement (20,21 in V161132)</labl><catStat type="freq">2111</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">24</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8XTs6LgvPVnD5t/xhHCYMA==</notes></var><var ID="v35514037" name="V161135b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT1: State percent for Republican Pres candidate</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">27.890518188550967</sumStat><sumStat type="mean">21.226463700234184</sumStat><sumStat type="max">500.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: early placement voter, not asked (11 in V161132)</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, late placement (20,21 in V161132)</labl><catStat type="freq">2111</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LhUigUj14Ynn6sJwvSTbjg==</notes></var><var ID="v35513146" name="V161136" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party Control or split government</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.250927747950782</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.882669789227167</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Better when control is split</labl><catStat type="freq">2109</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. It doesnt matter</labl><catStat type="freq">1029</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Better when one party controls both</labl><catStat type="freq">1090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UFQsl0ebbsdVBlgNTogeKQ==</notes></var><var ID="v35514261" name="V161137" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Income gap today more or less than 20 years ago</labl><sumStat type="mean">1.2744730679156895</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.9516684765692022</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Larger</labl><catStat type="freq">3462</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">568</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Smaller</labl><catStat type="freq">220</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ysBRhp5h0XJ5dRu7+4aAEg==</notes></var><var ID="v35512664" name="V161138a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much larger is income gap today</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.8374707259953156</sumStat><sumStat type="stdev">1.032523884126121</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">2487</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,3,-8,-9 in V161137 </labl><catStat type="freq">808</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0vS78XL26YPelTkHbfvOsA==</notes></var><var ID="v35512601" name="V161138b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much smaller is income gap today</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.8632318501170962</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.596728686617152</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,3,-8,-9 in V161137 </labl><catStat type="freq">4050</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">144</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FkAFbkoDlvjuBx4hqexw0A==</notes></var><var ID="v35514004" name="V161138x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - larger/smaller income gap today</labl><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.9902260791836424</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.6480093676814986</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">568</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much larger</labl><catStat type="freq">2487</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Much smaller</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat smaller</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161137/V161138a/b</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat larger</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161138b/-8,-9 in V161138b/-8,-9 in V161137 </labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZeDmpKRyK+P3mSBVgBPnnA==</notes></var><var ID="v35513199" name="V161139" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Current economy good or bad</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">1.131045676404375</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">3.2627634660421543</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very good</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither good nor bad</labl><catStat type="freq">1376</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Good</labl><catStat type="freq">965</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bad</labl><catStat type="freq">1372</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very bad</labl><catStat type="freq">479</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:T1flmKg9Ez8Iyx233UcTHA==</notes></var><var ID="v35512778" name="V161140" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: National economy better worse in last year</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.9281798253714233</sumStat><sumStat type="mean">1.983372365339578</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Gotten better</labl><catStat type="freq">1204</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gotten worse</labl><catStat type="freq">1249</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Stayed about the same</labl><catStat type="freq">1806</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0GkO59MsPtTX7aUKkXBILw==</notes></var><var ID="v35512796" name="V161140a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much national economy better worse in last year</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.5121779859484771</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.4170982417371902</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">825</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161140 </labl><catStat type="freq">1817</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">1621</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CXC5LAnhGSn3fpR30ghFTA==</notes></var><var ID="v35514283" name="V161140x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - economy better/worse in last year</labl><sumStat type="mode">.</sumStat><sumStat type="mean">3.0662763466042153</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">1.1197082193958237</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161140a/-8,-9 in V161140 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161139/V161140a/b</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Much worse</labl><catStat type="freq">576</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">1806</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat better</labl><catStat type="freq">951</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat worse</labl><catStat type="freq">670</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RWwOQ5wnLvy1LgFmCXUJGw==</notes></var><var ID="v35513626" name="V161141" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Economy better or worse in next 12 months</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.7714285714285838</sumStat><sumStat type="stdev">1.5411064864429609</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Get worse</labl><catStat type="freq">903</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Get better</labl><catStat type="freq">1060</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Stay about the same</labl><catStat type="freq">2227</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v30HSBhUqUewEdv+OTMJPw==</notes></var><var ID="v35513643" name="V161141a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much econ better worse next 12 months</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.4240673693744774</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.23138173302107837</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">1390</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161141 </labl><catStat type="freq">2307</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">567</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x2zhOP1wp9RTlKLzKyaKvg==</notes></var><var ID="v35513713" name="V161141x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - economy better/worse in next year</labl><sumStat type="mode">.</sumStat><sumStat type="mean">2.8768149882904033</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.1598826973429084</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">2227</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161140a/-8,-9 in V161140 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Get much worse</labl><catStat type="freq">311</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161141/V161141a</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Get somewhat worse</labl><catStat type="freq">592</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Get somewhat better</labl><catStat type="freq">798</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Get much better</labl><catStat type="freq">256</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sAmgzV0FpJD/ndI4UE8lfQ==</notes></var><var ID="v35513741" name="V161142" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Unemployment better or worse in last year</labl><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">1.8203747072599532</sumStat><sumStat type="stdev">0.9993236645234456</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161141 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. About the same</labl><catStat type="freq">1678</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Better</labl><catStat type="freq">1583</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Worse</labl><catStat type="freq">992</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xr0e27yA+bor6KtQujK7jA==</notes></var><var ID="v35513936" name="V161142a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much unemployment better or worse in last year</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3969412059276964</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.6173302107728389</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">1795</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">776</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YS11AUJbEr8fW+fRKmE62w==</notes></var><var ID="v35514325" name="V161142x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY: more/less unemployment in last year</labl><sumStat type="max">5.0</sumStat><sumStat type="mean">2.865105386416862</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1190863889277123</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Much worse</labl><catStat type="freq">447</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161142a/-8,-9 in V161142 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat worse</labl><catStat type="freq">544</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat better</labl><catStat type="freq">1251</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better</labl><catStat type="freq">329</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">1678</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161142/V161142a</labl><catStat type="freq">21</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:URr+mwLe5bWQHPQC+F2ntA==</notes></var><var ID="v35514227" name="V161143" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: More or less unemployment in next year</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.3106582246758531</sumStat><sumStat type="mean">1.8543325526932004</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. About the same</labl><catStat type="freq">2684</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More</labl><catStat type="freq">789</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Less</labl><catStat type="freq">741</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:A9Fzm62HI4aS+l2OxKJvtA==</notes></var><var ID="v35513258" name="V161144" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Which party better: handling nations economy</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.231620202610339</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.9419203747072604</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">1449</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither party</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">1346</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not much difference between them</labl><catStat type="freq">1431</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HI0DJZDBunwTuzHaeQLJdQ==</notes></var><var ID="v35513783" name="V161145" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Care who wins Presidential Election revised version</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.7826697892271663</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.1780292872989462</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">630</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">855</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2400</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G+j2voeYAFrHRhugp4Ttmg==</notes></var><var ID="v35513907" name="V161146" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Who does R think will be elected President</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.9350160583569607</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.251756440281022</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">9.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: DK</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other Specify, specified as: Donald Trump</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Specify, specified as: Hillary Clinton</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Other Specify- don't care, doesn't matter, won't vote</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">1425</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other specify as statement against both major party candidates</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">2577</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Other Specify- no specification given (WEB)/specif is RF (FTF 1 case, WEB 1 case)</labl><catStat type="freq">26</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5Iq4llbOAgcqMm5LaePX+w==</notes></var><var ID="v35512760" name="V161147" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Will Pres race be a close or will (winner) win by a lot</labl><sumStat type="mean">1.2210772833723642</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.8368004302461253</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161146 (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Win by quite a bit</labl><catStat type="freq">1167</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Will be close</labl><catStat type="freq">3076</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+D5lG+Ac9C3pHKFJcJ4Qg==</notes></var><var ID="v35514203" name="V161148" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Which Pres cand will carry state</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.495501850179599</sumStat><sumStat type="mean">1.3857142857142892</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">1900</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Other Specify- don't care, doesn't matter, won't vote</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Specify, specified as: Hillary Clinton</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">2229</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other specify as statement against both major party candidates</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: DK</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Other Specify- no specification given (WEB)/specif is RF (FTF 1 case, WEB 1 case)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other Specify, specified as: Donald Trump</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LzLbwjw6eE3YV6QQfYoaRQ==</notes></var><var ID="v35514253" name="V161149" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Will Pres race be close in state</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.0079110216896239</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.418032786885244</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161148 (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Win by quite a bit</labl><catStat type="freq">2108</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Will be close</labl><catStat type="freq">2125</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3rx7HChwzJSMBYrW4r2ZZQ==</notes></var><var ID="v35513984" name="V161150a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: VERSION 1A placement- Does R consider voting a duty or choice</labl><sumStat type="stdev">1.4199190900671312</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.2779859484777523</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Mainly a choice</labl><catStat type="freq">847</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mainly a duty</labl><catStat type="freq">1061</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither a duty nor a choice</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, selected for version 1B of question</labl><catStat type="freq">2146</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0nlTFDXzFiMb3HqMv2LD2A==</notes></var><var ID="v35512674" name="V161150b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: VERSION 1B placement- Does R consider voting a choice or duty</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.37283372365339607</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.4866036218175374</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither a duty nor a choice</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, selected for version 1A of question</labl><catStat type="freq">2124</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mainly a duty</labl><catStat type="freq">1122</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mainly a choice</labl><catStat type="freq">770</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0o6Coby4zPvd440UnBhJ0A==</notes></var><var ID="v35512978" name="V161151a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How strongly does R feel that voting is a duty</labl><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.21288056206089098</sumStat><sumStat type="stdev">1.278824746048054</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little strongly</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very strongly</labl><catStat type="freq">1482</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately strongly</labl><catStat type="freq">566</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,3,-8,-9 in V161150a or 1,3,-8,-9 in V161050b</labl><catStat type="freq">2087</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:41QnxI5Vxza3CeQRx+IVxw==</notes></var><var ID="v35512850" name="V161151b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How strongly does R feel that voting is a choice</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.354633562861311</sumStat><sumStat type="mean">-0.017096018735362997</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,3,-8,-9 in V161150a or 2,3,-8,-9 in V161050b</labl><catStat type="freq">2653</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little strongly</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very strongly</labl><catStat type="freq">805</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately strongly</labl><catStat type="freq">626</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EJgPw40NdjEw1Cv4vxuDZQ==</notes></var><var ID="v35512719" name="V161151x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Voting as duty or choice</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.541686182669787</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">2.4366453452743695</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little strongly feel that voting is a duty</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Moderately strongly feel that voting is a choice</labl><catStat type="freq">626</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Feel that voting is neither a duty nor a choice</labl><catStat type="freq">459</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Very strongly feel that voting is a choice</labl><catStat type="freq">805</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161150a or V161150b/-8,-9 in V161151a or V161151b</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately strongly feel that voting is a duty</labl><catStat type="freq">566</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161150a/b,V161151a/b</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little strongly feel that voting is a choice</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very strongly feel that voting is a duty</labl><catStat type="freq">1482</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uhg3aTh9RMRdO6Xxd54Utg==</notes></var><var ID="v35514102" name="V161152" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: During last year, U.S. position in world weaker str</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">1.4901639344262305</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8936263323350324</sumStat><catgry><catValu>3</catValu><labl level="category">3. Stronger</labl><catStat type="freq">326</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Weaker</labl><catStat type="freq">2325</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Stayed about the same</labl><catStat type="freq">1602</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:q1XdHB9cJqYvYoj2SnxguA==</notes></var><var ID="v35512700" name="V161153" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Country would be better off if we just stayed home</labl><sumStat type="mean">1.5922716627634665</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.087756880199724</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Agree</labl><catStat type="freq">1320</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disagree</labl><catStat type="freq">2910</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rGy6P6O39ShcgN6LiKE4qg==</notes></var><var ID="v35512689" name="V161154" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Force to solve international problems</labl><sumStat type="stdev">1.356091160951017</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.069086651053869</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little willing</labl><catStat type="freq">1051</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very willing</labl><catStat type="freq">528</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all willing</labl><catStat type="freq">266</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely willing</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately willing</labl><catStat type="freq">2204</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vx/T7OiF3AbCr8RXApbzHQ==</notes></var><var ID="v35513129" name="V161155" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party ID: Does R think of self as Dem, Rep, Ind or what</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.9995316159250585</sumStat><sumStat type="stdev">1.2950704836270435</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Independent</labl><catStat type="freq">1367</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrat</labl><catStat type="freq">1450</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">1231</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No preference (FTF ONLY)</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other party SPECIFY</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QiucvKg3dZjcVwZ9TCIhRw==</notes></var><var ID="v35513569" name="V161155a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party ID other specifys</labl><sumStat type="stdev">1.2294925560242513</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.7695550351288071</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">8.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other party SPECIFY</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Other Specify- no specification given (WEB)/specif is RF (WEB: 2 cases)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other specify given as: no preference/neither/none</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: DK</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other specify given as: Democrat</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,1,2,3,-8,-9 in V161155 </labl><catStat type="freq">4122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ikuRwVjpiLWfA9qkUVLaiA==</notes></var><var ID="v35513466" name="V161156" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Party Identification strong - Democrat Republican</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.2446650033112718</sumStat><sumStat type="mean">0.49906323185011586</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not very strong</labl><catStat type="freq">1067</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,3,5,-8,-9 in V161155 </labl><catStat type="freq">1589</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">1611</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BDT+z1hiWWKE3jhg43Tn+g==</notes></var><var ID="v35513650" name="V161157" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: No Party Identification - closer to Dems or Reps</labl><sumStat type="mean">0.07025761124121682</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6134334985980894</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Closer to Republican</labl><catStat type="freq">500</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2 in V161155/-9 in V161155 (FTF ONLY)</labl><catStat type="freq">2684</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Closer to Democratic</labl><catStat type="freq">490</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Neither</labl><catStat type="freq">579</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3GI8cC9JGqVPcJG7oPM5rg==</notes></var><var ID="v35513133" name="V161158x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Party ID</labl><sumStat type="medn">4.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">3.7922716627634654</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.330440848396146</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Independent</labl><catStat type="freq">579</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent-Democrat</labl><catStat type="freq">490</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Strong Republican</labl><catStat type="freq">721</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Not very strong Republican</labl><catStat type="freq">508</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not very strong Democract</labl><catStat type="freq">559</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Independent-Republican</labl><catStat type="freq">500</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161156 or V161157 (FTF only)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161155 (FTF only)/-9 in V161156 or V161157 </labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong Democrat</labl><catStat type="freq">890</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wq2yyjM0bGo2itibFylwJw==</notes></var><var ID="v35512934" name="V161159" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand trait strong leadership</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.6084862289004054</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">3.2053864168618262</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">940</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">1232</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">580</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">858</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Hz0HmXPRmWa8zlDXdiJkyQ==</notes></var><var ID="v35513506" name="V161160" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand trait really cares</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6085773570967823</sumStat><sumStat type="mean">3.4718969555035133</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">859</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">1581</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">662</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">704</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">446</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Y0Izz0QH9SSVRpvWqgl2Dw==</notes></var><var ID="v35514338" name="V161161" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand trait knowledgeable</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.4807962529274</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.5069080635846746</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">1138</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">973</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">1154</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">463</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">522</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+0ekCKjxoCJ9P7FuKMQRdA==</notes></var><var ID="v35513620" name="V161162" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand trait honest</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.500287916845059</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.888524590163935</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">449</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">646</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">875</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">2098</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gQYp7WAfjmw+vrtHp6Tqaw==</notes></var><var ID="v35514310" name="V161163" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand trait speaks mind</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">3.027400468384074</sumStat><sumStat type="stdev">1.5352342000503658</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">508</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">826</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">1192</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">730</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">992</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ou3jHIcjGMtvk81ZV3Jynw==</notes></var><var ID="v35513696" name="V161164" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand trait strong leadership</labl><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.6815200703618594</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.386651053864167</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">771</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">539</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">1587</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">571</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">781</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oDtsxsq1ArtDjbi8bulz3g==</notes></var><var ID="v35514133" name="V161165" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand trait really cares</labl><sumStat type="mean">3.7967213114754106</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">1.635254755770791</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">296</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">2143</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">755</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">531</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">521</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hYcEH5glQ4c+/8iMSMkgHw==</notes></var><var ID="v35512865" name="V161166" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand trait knowledgeable</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">3.6159250585480054</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6198954166649309</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">610</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">946</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">270</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">1678</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">739</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZaugYCDpsubdTh/fr0COAQ==</notes></var><var ID="v35513780" name="V161167" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand trait honest</labl><sumStat type="stdev">1.6443836073040758</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">3.6484777517564377</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">616</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">655</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">1852</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">823</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">298</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:n/ls0nqRuX90UObPziqv+A==</notes></var><var ID="v35512600" name="V161168" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand trait speaks mind</labl><sumStat type="mean">1.7454332552693221</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.3596850692640465</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">2380</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">348</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">1085</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">153</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZHu1NOt5gpbVWs0mnIP38Q==</notes></var><var ID="v35513031" name="V161169" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Dem cand even-tempered</labl><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.5923566538933907</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.9674473067915685</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">1194</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">937</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">797</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">600</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XrrbMHbnbZDJndP3DE0eSw==</notes></var><var ID="v35513294" name="V161170" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Pres Rep cand even-tempered</labl><sumStat type="stdev">1.4098039868690722</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.134426229508198</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">740</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">2395</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">796</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fm18MU7qgOIRiFMkNGwF1w==</notes></var><var ID="v35513388" name="V161171" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Prefer government official who compromises</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.2412177985948492</sumStat><sumStat type="stdev">1.142417296698375</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Sticks to his or her principles no matter what</labl><catStat type="freq">1481</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Compromises to get things done</labl><catStat type="freq">2742</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myjE2hcilcjgjPK5ozpynA==</notes></var><var ID="v35513726" name="V161172" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How should party nominees be chosen</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.157569942141112</sumStat><sumStat type="mean">1.6613583138173296</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. Mostly by party leaders with some say from voters</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mostly by voters with some say from party leaders</labl><catStat type="freq">1072</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Equally by voters and party leaders</labl><catStat type="freq">752</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Entirely by party leaders</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Entirely by voters</labl><catStat type="freq">2286</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ua5/64VVPI5992EntzzZqg==</notes></var><var ID="v35512949" name="V161173" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Rep and Dem adequate parties</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.4998040042826362</sumStat><sumStat type="mean">1.3676814988290453</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Adequate job</labl><catStat type="freq">1791</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Such a poor job that a third major party is needed</labl><catStat type="freq">2392</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">48</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MBVdQ9HPAhqoNFwLOEBX/Q==</notes></var><var ID="v35513694" name="V161174" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Serious third party or independent Pres cand choice</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6969594012587346</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.7065573770491813</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">532</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">723</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">801</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1004</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1185</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:06OGwydfiS5hJvUR3yC9rQ==</notes></var><var ID="v35514136" name="V161175" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Supreme Court nominee - legal qualifications</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.1508251094652096</sumStat><sumStat type="mean">1.4288056206089002</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">436</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">796</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2893</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QtUdIdTM2PWsmyNc1h/5nw==</notes></var><var ID="v35512667" name="V161176" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Supreme Court nominee - likely to vote on controversial issues</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.1665105386416847</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.5468487077211317</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1086</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">371</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1009</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1568</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mUr4qwsvfR/N3Ju6hFzM9g==</notes></var><var ID="v35513868" name="V161177" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Senate vote on Supreme Court nominee by outgoing President</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.223653395784547</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.5594272367986322</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Hold a vote on whether to confirm Merrick Garland</labl><catStat type="freq">2294</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Wait until next year for the new President to nominate someone</labl><catStat type="freq">1878</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">57</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fru5bfrB3Zq8XOIjX5CkQA==</notes></var><var ID="v35512851" name="V161178" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale spending and Services self-placement</labl><sumStat type="mean">17.79039812646369</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">33.709211512750066</sumStat><sumStat type="max">99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF: DO NOT PROBE)</labl><catStat type="freq">626</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should provide many more services</labl><catStat type="freq">295</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should provide many fewer services</labl><catStat type="freq">378</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jOon6Oa3XWX6nlNy1LIeIQ==</notes></var><var ID="v35514358" name="V161179" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale spending and Services Dem Presidential cand</labl><sumStat type="mean">5.007494145199056</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">2.40878381018619</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should provide many fewer services</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should provide many more services</labl><catStat type="freq">1094</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WIFBfg5Qs26xdnUuXsD8Rg==</notes></var><var ID="v35513890" name="V161180" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale spending and Services Rep Presidential cand</labl><sumStat type="stdev">2.4204568630925456</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.6135831381733086</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt should provide many fewer services</labl><catStat type="freq">1012</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should provide many more services</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">37</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hjAJEzkUO2m7UZhVXkm+DA==</notes></var><var ID="v35513276" name="V161181" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale defense spending self-placement</labl><sumStat type="max">99.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">32.14099399242476</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mean">16.99133489461357</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt should decrease defense spending</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should increase defense spending</labl><catStat type="freq">450</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF: DO NOT PROBE)</labl><catStat type="freq">567</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GS65rsGpweeyaLwEClUvcQ==</notes></var><var ID="v35513155" name="V161182" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale defense spending Dem Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">2.399513252884076</sumStat><sumStat type="mean">3.3756440281030313</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt should decrease defense spending</labl><catStat type="freq">498</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should increase defense spending</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7IUua/XzknN1Q5jl7oozSQ==</notes></var><var ID="v35514350" name="V161183" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale defense spending Rep Pres cand</labl><sumStat type="stdev">2.6391021726122825</sumStat><sumStat type="mean">4.9983606557377</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">6.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Govt should increase defense spending</labl><catStat type="freq">1191</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should decrease defense spending</labl><catStat type="freq">170</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qi4WCPsi0Y0YopJfkePCwA==</notes></var><var ID="v35514273" name="V161184" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt-private medical insur scale: self-plmt</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">14.915456674473026</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="stdev">30.348049271787247</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt insurance plan</labl><catStat type="freq">640</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF: DO NOT PROBE)</labl><catStat type="freq">490</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Private insurance plan</labl><catStat type="freq">624</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rtpdw6DH6Hp6xmXJQvxhUw==</notes></var><var ID="v35514399" name="V161185" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt-private medical insur scale: Dem Pres cand</labl><sumStat type="stdev">2.413939134787454</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.5290398126463667</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt insurance plan</labl><catStat type="freq">1326</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Private insurance plan</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">69</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BGij8VZ5iPlrBUAZf9wLxg==</notes></var><var ID="v35513704" name="V161186" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt-private medical insur scale: Rep Pres cand</labl><sumStat type="mean">5.080093676814995</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">2.8695625641487896</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Private insurance plan</labl><catStat type="freq">1563</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt insurance plan</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jroURmNjmX+XH5Khyo6gOw==</notes></var><var ID="v35512727" name="V161187" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Should fed govt make it more difficult to buy a gun</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.8072599531615936</sumStat><sumStat type="stdev">1.2385219034705826</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Easier</labl><catStat type="freq">275</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Keep these rules about the same</labl><catStat type="freq">1702</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More difficult</labl><catStat type="freq">2269</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KOYzrdV7xETbUxaZB7fpDQ==</notes></var><var ID="v35513455" name="V161188" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Importance of gun access issue to R</labl><sumStat type="mean">2.135128805620608</sumStat><sumStat type="stdev">1.224317391636761</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">1346</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not important at all</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not too important</labl><catStat type="freq">312</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">1393</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat important</labl><catStat type="freq">1066</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jM7oOii/jtrfsIVCsBizJA==</notes></var><var ID="v35512786" name="V161189" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale guaranteed job-income scale: self-placement</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">14.907962529274029</sumStat><sumStat type="stdev">30.023996139302746</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF: DO NOT PROBE)</labl><catStat type="freq">481</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should see to jobs and standard of living</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Govt should let each person get ahead on own</labl><catStat type="freq">497</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:52OC/bium2y/72nS5m351w==</notes></var><var ID="v35512644" name="V161190" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale guaranteed job-income scale: Dem Pres cand</labl><sumStat type="stdev">2.295809592479431</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">2.8009367681498842</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Govt should let each person get ahead on own</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should see to jobs and standard of living</labl><catStat type="freq">872</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">61</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RpkwGNOWtf+Yp6nUR+0wEA==</notes></var><var ID="v35513654" name="V161191" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale guaranteed job-income scale: Rep Pres cand</labl><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.652730216328106</sumStat><sumStat type="mean">5.231147540983601</sumStat><catgry><catValu>7</catValu><labl level="category">7. Govt should let each person get ahead on own</labl><catStat type="freq">1669</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should see to jobs and standard of living</labl><catStat type="freq">167</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zPMX4doVBbX+X7N2WQtIJA==</notes></var><var ID="v35513829" name="V161192" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: U.S. government policy toward unauthorized immigrants</labl><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.6002624639145544</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">2.453395784543323</sumStat><catgry><catValu>1</catValu><labl level="category">1. Make all unauthorized immigrants felons and send them back to their home country.</labl><catStat type="freq">703</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Allow to remain and eventually qualify for U.S. citizenship without penalties.</labl><catStat type="freq">417</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have a guest worker program in order to work</labl><catStat type="freq">644</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Allow to remain and eventually qualify for U.S. citizenship, if they meet</labl><catStat type="freq">2447</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zKfJ3NtnycXPazv3+g71MQ==</notes></var><var ID="v35512743" name="V161193" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Favor or oppose ending birthright citizenship</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.9145199063231846</sumStat><sumStat type="stdev">1.0739575470155895</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1688</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1351</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1210</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2wuQXYcXGPsFFyoYVGcH/Q==</notes></var><var ID="v35513291" name="V161193a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength R favors or opposes ending birthright citizenship</labl><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.7697892271662762</sumStat><sumStat type="stdev">1.2771027846951963</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1032</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161193 </labl><catStat type="freq">1231</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1766</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VW/VVtJBaYxsycYcouGOpQ==</notes></var><var ID="v35513328" name="V161194x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - birthright citizenship</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.373187120130891</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">4.130679156908666</sumStat><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">557</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">994</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1210</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161193 or V161193a (FTF only)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161193 or V161193a</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">772</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">475</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1l6RcXWn8W6ZAfNlPvNq0Q==</notes></var><var ID="v35514092" name="V161195" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Children brought illegally sent back</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.38854933347776</sumStat><sumStat type="mean">1.6423887587822004</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Should be allowed to live and work in the U.S.</labl><catStat type="freq">3425</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Should be sent back where they came from</labl><catStat type="freq">774</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XA0yHGpcJGNzupcqZ9OUHg==</notes></var><var ID="v35513439" name="V161195a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Children brought illegally strength follow-up</labl><sumStat type="mean">1.6262295081967224</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">0.8443468460364727</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161195 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1879</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1769</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">547</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Oj7KkY3ddUEAlTco95wb1g==</notes></var><var ID="v35512790" name="V161195x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Children brought illegally</labl><sumStat type="mean">4.424590163934427</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.3403944641913736</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Should send back - favor a moderate amount</labl><catStat type="freq">332</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Should allow to stay - favor a great deal</labl><catStat type="freq">1549</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161193 or V161193a (FTF only)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Should allow to stay - favor a little</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Should allow to stay - favor a moderate amount</labl><catStat type="freq">1437</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Should send back - favor a great deal</labl><catStat type="freq">329</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161193 or V161193a</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Should send back - favor a little</labl><catStat type="freq">112</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KnfJAIQE0Gr0/JuFHlwd/Q==</notes></var><var ID="v35512911" name="V161196" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Build a wall with Mexico</labl><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.0058705939722372</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.8510538641686174</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">934</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1370</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1947</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rXyEh2yZdGiSEKxAmviKOQ==</notes></var><var ID="v35513749" name="V161196a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Build a wall with Mexico strength follow-up</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.8028103044496473</sumStat><sumStat type="stdev">1.1182137686539255</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2391</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">754</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161196 </labl><catStat type="freq">953</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">169</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JObO1FYXpArNjwsdUqbWyg==</notes></var><var ID="v35513241" name="V161196x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Build wall with Mexico</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.351990632318502</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">2.543505643855508</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">347</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">880</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">407</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">934</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161196 or V161196a</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">1511</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161196 or V161196a (FTF only)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:erNvX4KdwQCb9R0urGTezA==</notes></var><var ID="v35514192" name="V161197" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How important to speak English in US</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.448009367681498</sumStat><sumStat type="stdev">0.873862152737876</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very important</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat important</labl><catStat type="freq">999</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very important</labl><catStat type="freq">2847</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all important</labl><catStat type="freq">150</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+gHC5ExCbfDiL6UfbZ8ZdQ==</notes></var><var ID="v35514212" name="V161198" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt assistance to blacks scale: self-placemt</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">30.189526304316633</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">15.166510538641687</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Govt should help Blacks</labl><catStat type="freq">370</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF ONLY: DO NOT PROBE)</labl><catStat type="freq">488</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Blacks should help themselves</labl><catStat type="freq">738</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AMNbpES4p29fKJQUqM5DAA==</notes></var><var ID="v35514035" name="V161199" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt assistance to blacks scale: Dem Pres cand</labl><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">2.6199063231850017</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.3858383994401615</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should help Blacks</labl><catStat type="freq">1055</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Blacks should help themselves</labl><catStat type="freq">174</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5oI3riAjOpwyJCkOy5CV8w==</notes></var><var ID="v35514378" name="V161200" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale govt assistance to blacks scale: Rep Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.659543711010782</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.250351288056204</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Govt should help Blacks</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Blacks should help themselves</labl><catStat type="freq">1719</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bJ72T1dr6+/GBhiL75WfMQ==</notes></var><var ID="v35512626" name="V161201" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale environment-jobs tradeoff self-placement</labl><sumStat type="stdev">35.73505683434787</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">19.023653395784535</sumStat><sumStat type="max">99.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Regulate business to protect the environment and create jobs</labl><catStat type="freq">896</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. No regulation because it will not work and will cost jobs</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this (FTF ONLY: DO NOT PROBE)</labl><catStat type="freq">709</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CokDyajqMI8c5CvjusOtYg==</notes></var><var ID="v35513891" name="V161202" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale environment-jobs tradeoff Dem Pres cand</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.50149223402051</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">2.446135831381721</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. No regulation because it will not work and will cost jobs</labl><catStat type="freq">127</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Regulate business to protect the environment and create jobs</labl><catStat type="freq">1076</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:H4/3q9/ObN6MXd//QydIgw==</notes></var><var ID="v35514076" name="V161203" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: 7pt scale environment-jobs tradeoff Rep Pres cand</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.018854142362719</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.719672131147555</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">6.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. No regulation because it will not work and will cost jobs</labl><catStat type="freq">1324</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">102</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Regulate business to protect the environment and create jobs</labl><catStat type="freq">213</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Sh9NeN4WT7Y2y2SpBdB4dA==</notes></var><var ID="v35513068" name="V161204" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R favor or oppose affirmative action in universities</labl><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.066744730679163</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.3220987588209192</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1883</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1558</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">782</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8IL2NeNFQireY5r2Xd7SQg==</notes></var><var ID="v35513158" name="V161204a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much does R favor affirmative action in universities</labl><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.5154566744730685</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.08531368729618</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">345</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">346</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,3,-8,-9 in V161204 </labl><catStat type="freq">3488</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">89</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cgXPk1nHXVDrQGPyyQGtqg==</notes></var><var ID="v35514028" name="V161204b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much does R oppose affirmative action in universities</labl><sumStat type="max">3.0</sumStat><sumStat type="mean">0.10257611241217793</sumStat><sumStat type="stdev">1.313664215580266</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,3,-8,-9 in V161204 </labl><catStat type="freq">2387</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1099</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">626</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EazB1sn2vjSfYiTw0Vx+Vg==</notes></var><var ID="v35512677" name="V161204x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Favor or oppose affirmative action in universities</labl><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.347155191748263</sumStat><sumStat type="mean">4.534192037470727</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1558</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161204, V161204a or V161196b (FTF only)</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">626</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161204, V161204a or V161204b</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">346</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">1099</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">345</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:twKK/xDlXjfBChTBgJgGEQ==</notes></var><var ID="v35512797" name="V161205" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: Social Security</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.2822656674705417</sumStat><sumStat type="mean">1.6864168618266966</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">257</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2497</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1485</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0dZz4yi1fzFNyIyfmR0UVw==</notes></var><var ID="v35514383" name="V161206" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: public schools</labl><sumStat type="mean">1.4742388758782201</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1178680680875246</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2961</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">960</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">326</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LUR4JPnAKUt/R8TU+I7+sw==</notes></var><var ID="v35512617" name="V161207" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: science and technology</labl><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.6873536299765854</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.258526049880907</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1447</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">319</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2475</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LCxE7IFWTaJJumsfot4ciQ==</notes></var><var ID="v35512814" name="V161208" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: dealing with crime</labl><sumStat type="stdev">1.166323572649461</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.5971896955503486</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">341</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2691</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1215</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dvqLaY1GlVXXRwuJUWu0SA==</notes></var><var ID="v35513227" name="V161209" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: welfare programs</labl><sumStat type="mean">2.063231850117098</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.2664404811370227</sumStat><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">1984</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1477</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">767</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JTNpgXoDGDsNPWLitDnl/g==</notes></var><var ID="v35514394" name="V161210" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: child care</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.781967213114763</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.4403101058730179</sumStat><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1619</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2036</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">566</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J68XcVx2JJAX4nBkZwKfXA==</notes></var><var ID="v35514373" name="V161211" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: aid to the poor</labl><sumStat type="mean">1.8754098360655753</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.3854071667754262</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1709</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">1789</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">729</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:h0fLLrsauBQv6Rp3k4WqZw==</notes></var><var ID="v35514278" name="V161212" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Federal Budget Spending: protecting the environment</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.26455618544396</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.7201405152224827</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. Kept the same</labl><catStat type="freq">1398</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2264</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">577</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7pgYtiC5Cuv3i4gE43187Q==</notes></var><var ID="v35514208" name="V161213" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Sending troops to fight ISIS</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.2747067054643313</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.8348946135831403</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1399</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1569</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1264</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dUEYzTSBjfbQlCVr7YbJ8Q==</notes></var><var ID="v35513304" name="V161213a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Sending troops to fight ISIS follow-up</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.34642593105726</sumStat><sumStat type="mean">0.8395784543325548</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1344</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161213 </labl><catStat type="freq">1302</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">306</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1317</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eJ66QDAzvzDqMfxG0gmWpg==</notes></var><var ID="v35513846" name="V161213x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - send troops to fight ISIS</labl><sumStat type="medn">4.0</sumStat><sumStat type="mean">3.8278688524590216</sumStat><sumStat type="stdev">2.3554228439101603</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">648</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">696</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161213 or V161213a (FTF only)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">744</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1264</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161213 or V161213a</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">573</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5KS+h1T4ihkmMyB4uBTsEw==</notes></var><var ID="v35512713" name="V161214" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Should Syrian refugees be allowed to come to the U.S.</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2022834672678948</sumStat><sumStat type="mean">1.9618266978922743</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">2056</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1197</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">981</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CcMFKVa/JJ8rdcxm86s6Aw==</notes></var><var ID="v35513160" name="V161214a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Allow Syrian refugees strength</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.7950819672131112</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.2784771408953077</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1763</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">317</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">957</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161214 </labl><catStat type="freq">1233</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K9utiJS1V/pLxCRESa9QnA==</notes></var><var ID="v35513438" name="V161214x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Allow Syrian refugees</labl><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">4.6283372365339615</sumStat><sumStat type="stdev">2.3703273840960453</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1197</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">1374</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">434</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">389</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161214 or V161214a</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">523</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161214 or V161214a (FTF only)</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:afAbrMzsPK11yIfXx/LqBw==</notes></var><var ID="v35512792" name="V161215" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: REV How often trust govt in Wash to do what is right</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">3.4903981264637003</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2594088455462438</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">429</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">1382</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Always</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">545</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">1826</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qzMcn9UowuJACwJAAE/DGA==</notes></var><var ID="v35513173" name="V161216" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Govt run by a few big interests or for benefit of all</labl><sumStat type="mean">1.040749414519905</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1713081984390843</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Run by a few big interests</labl><catStat type="freq">3498</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. For the benefit of all the people</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zQ+HnvFXzHDQkxtWObw4gw==</notes></var><var ID="v35513358" name="V161217" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does government waste much tax money</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.9434549620036501</sumStat><sumStat type="mean">1.2487119437939107</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Waste a lot</labl><catStat type="freq">3070</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Don't waste very much</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Waste some</labl><catStat type="freq">1033</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bv62hW7/Zra3DuTXCJ/0mg==</notes></var><var ID="v35512924" name="V161218" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How many in government are corrupt</labl><sumStat type="stdev">1.4990810811990187</sumStat><sumStat type="mean">2.78384074941452</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. A few</labl><catStat type="freq">1218</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half</labl><catStat type="freq">1484</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. All</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Most</labl><catStat type="freq">1319</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Hn//74F0tlhQD2fjH7xVpA==</notes></var><var ID="v35512774" name="V161219" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How often can people be trusted</labl><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.831147540983606</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.153407305966662</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Always</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">1305</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">1765</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">947</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QOmZxPJWGxkscYT7U5wI+g==</notes></var><var ID="v35514187" name="V161220" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Elections make govt pay attention</labl><sumStat type="mean">1.9449648711943825</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">0.9996563879940336</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Some</labl><catStat type="freq">1989</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A good deal</labl><catStat type="freq">1157</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not much</labl><catStat type="freq">1107</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gUo6StLKpyZYhSSXEnkBoQ==</notes></var><var ID="v35513114" name="V161221" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is global warming happening or not</labl><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.1591373438258321</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.0533957845433266</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Has probably been happening</labl><catStat type="freq">3458</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Probably hasn't been happening</labl><catStat type="freq">756</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ynO3Xnks4jUSZ9SCHAB6JQ==</notes></var><var ID="v35513995" name="V161222" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Anthropogenic climate change</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.9515222482435584</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.3179273734088313</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mostly by human activity</labl><catStat type="freq">1660</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About equally by human activity and natural causes</labl><catStat type="freq">1824</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mostly by natural causes</labl><catStat type="freq">751</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VFRBxjug+SStIN7QZGxseQ==</notes></var><var ID="v35512829" name="V161223" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Approve or disapprove fracking</labl><sumStat type="stdev">1.419457866253321</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">2.096252927400472</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1593</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1806</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">815</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L7jbVXNG4F+I5a9LLesBaQ==</notes></var><var ID="v35512537" name="V161224" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Govt action about rising temperatures</labl><sumStat type="stdev">1.6865118930567151</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.6135831381732995</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Is currently doing the right amount</labl><catStat type="freq">1350</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Should be doing more</labl><catStat type="freq">2100</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Should be doing less</labl><catStat type="freq">733</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PxwnNN5pU5h4IgfMuuqlnA==</notes></var><var ID="v35512976" name="V161224a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength of position on govt action about rising temperatures</labl><sumStat type="stdev">1.3583372866499592</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6964871194379421</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161224 </labl><catStat type="freq">1437</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1114</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Great deal</labl><catStat type="freq">1463</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gH2YDIKkhvyg/+6ziD/BEg==</notes></var><var ID="v35512723" name="V161225x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Govt action about rising temperatures</labl><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.5032153271685993</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.909367681498828</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Should be doing a great deal more</labl><catStat type="freq">1139</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Currently doing the right amount</labl><catStat type="freq">1350</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Should be doing a great deal less</labl><catStat type="freq">324</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Should be doing a little more</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Should be doing a little less</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161224 or V161224a</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Should be doing a moderate amount less</labl><catStat type="freq">290</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161224 or V161224a (FTF only)</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Should be doing a moderate amount more</labl><catStat type="freq">824</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jbjvTnSE2zgKDxPfNwrRpw==</notes></var><var ID="v35513131" name="V161226" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Require employers to offer paid leave to parents of new children</labl><sumStat type="stdev">1.1755265892525142</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.4508196721311397</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">467</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">2896</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">876</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tBh8tN7A2aUztWvq4MQ6tA==</notes></var><var ID="v35514046" name="V161226a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength require employers to offer paid leave to parents of new children</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.1546678516709972</sumStat><sumStat type="mean">0.9381733021077231</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2012</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1140</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161226 </labl><catStat type="freq">907</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zeMfSwM5foaEzjfevF7uig==</notes></var><var ID="v35513288" name="V161226x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - require employers to offer paid leave to new parents</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">1.9936415823083073</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.400936768149876</sumStat><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161226 or V161226a</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161226 or V161226a (FTF only)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">1824</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">934</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">876</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">137</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BPEDZbdZkci6upuz2+zrRQ==</notes></var><var ID="v35513587" name="V161227" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Services to same sex couples</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4823683341899399</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.2747072599531555</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Should be required to provide services</labl><catStat type="freq">1982</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Should be allowed to refuse</labl><catStat type="freq">2203</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+ikIJRNnS33sz56QzIbYhA==</notes></var><var ID="v35512808" name="V161227a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Services to same sex couples strength</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.7569929635210395</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.4651053864168608</sumStat><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">1282</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">437</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161227 </labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very strongly</labl><catStat type="freq">2466</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rn2CYd+isBt0pqbbySZnlQ==</notes></var><var ID="v35513323" name="V161227x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Services to same sex couples</labl><sumStat type="stdev">2.66158996035163</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">3.1711943793910917</sumStat><catgry><catValu>2</catValu><labl level="category">2. Feel moderately strongly- should be allowed to refuse</labl><catStat type="freq">649</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Feel a little strongly - should be required to provide services</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Feel very strongly- should be allowed to refuse</labl><catStat type="freq">1297</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Feel very strongly - should be required to provide services</labl><catStat type="freq">1169</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161227 or V161227a</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Feel moderately strongly - should be required to provide services</labl><catStat type="freq">633</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Feel a little strongly- should be allowed to refuse</labl><catStat type="freq">257</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161227 or V161227a (FTF only)</labl><catStat type="freq">41</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:weZ28MUle3eYweziRd5xkA==</notes></var><var ID="v35513999" name="V161228" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Transgender bathroom policy</labl><sumStat type="mean">1.0721311475409934</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.0422902694657457</sumStat><catgry><catValu>2</catValu><labl level="category">2. Be allowed to use the bathrooms of their identified gender</labl><catStat type="freq">1985</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have to use the bathrooms of the gender they were born with</labl><catStat type="freq">2107</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">103</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zfbO4zDdPa5GdbkL1KZNSg==</notes></var><var ID="v35513148" name="V161228a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Transgender policy strength</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.9049683969923611</sumStat><sumStat type="mean">1.4362997658079568</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very strongly</labl><catStat type="freq">2320</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">489</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">1279</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161228 </labl><catStat type="freq">178</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Die7npnUaBYr4FpMZxbj3A==</notes></var><var ID="v35513145" name="V161228x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Transgender policy</labl><sumStat type="mode">.</sumStat><sumStat type="max">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.763700234192053</sumStat><sumStat type="stdev">3.1029260832135774</sumStat><catgry><catValu>1</catValu><labl level="category">1. Feel very strongly- bathroom of the gender born with</labl><catStat type="freq">1472</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Feel very strongly - bathroom of identified gender</labl><catStat type="freq">848</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161228 or V161228a</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Feel a little strongly - bathroom of identified gender</labl><catStat type="freq">328</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Feel moderately strongly - bathroom of identified gender</labl><catStat type="freq">807</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Feel a little strongly- bathroom of the gender born with</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feel moderately strongly- bathroom of the gender born with</labl><catStat type="freq">472</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161228 or V161228a (FTF only)</labl><catStat type="freq">105</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c8bdXQyziKzjUwjlH5u9KA==</notes></var><var ID="v35513193" name="V161229" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Should laws protect gays lesbians against job discrim</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.9896955503512898</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.3642652347976656</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">3480</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">711</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">44</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NNNdkF6NnlGmguLG4EALaQ==</notes></var><var ID="v35513011" name="V161229a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How much fav opp laws protect gays lesbians job discrim</labl><sumStat type="stdev">0.601367588012564</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.1620608899297413</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161229 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">3289</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">897</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1vRRT8c1Dd+YrdzQ/GTCRw==</notes></var><var ID="v35513320" name="V161229x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Laws to protect gays and lesbians against job discrim</labl><sumStat type="stdev">1.1282988590831238</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.545433255269321</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161229/-8,-9 in V161229a</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Oppose strongly</labl><catStat type="freq">487</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Oppose not strongly</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor strongly</labl><catStat type="freq">2802</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor not strongly</labl><catStat type="freq">674</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161229/V161229a</labl><catStat type="freq">84</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Gmodhsq63T/BLLKIQcwIrA==</notes></var><var ID="v35514314" name="V161230" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Should gay and lesbian couples be allowed to adopt</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.5745116936581722</sumStat><sumStat type="mean">1.0297423887587787</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">3048</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">49</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rs+9eCwPJAO6D8o2YRhb7g==</notes></var><var ID="v35512882" name="V161231" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R position on gay marriage</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.504523534300423</sumStat><sumStat type="mean">1.4346604215456662</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gay and lesbian couples should be allowed to legally marry.</labl><catStat type="freq">2453</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Gay and lesbian couples should be allowed to form civil unions but not legally marry.</labl><catStat type="freq">982</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. There should be no legal recognition of a gay or lesbian couple's relationship.</labl><catStat type="freq">767</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Y/ZCOgOVzRbBXVA4pAdmSw==</notes></var><var ID="v35514377" name="V161232" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: STD Abortion: self-placement</labl><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.747983556739384</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.781264637002342</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. By law, only in case of rape, incest, or woman's life in danger.</labl><catStat type="freq">1115</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. By law, abortion as a matter of personal choice.</labl><catStat type="freq">1932</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. By law, for reasons other than rape, incest, or woman's life in danger if need established</labl><catStat type="freq">616</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. By law, abortion should never be permitted.</labl><catStat type="freq">544</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0GkdprOyhG2FaAgczr5miw==</notes></var><var ID="v35514316" name="V161233" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R favor oppose death penalty</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.103278688524586</sumStat><sumStat type="stdev">1.4771987711547285</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">2888</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1292</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:161aYICb5G3kqRmS+61Jyg==</notes></var><var ID="v35513672" name="V161233a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Strength R favors opposes death penalty</labl><sumStat type="min">-8.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.6236662290482806</sumStat><sumStat type="mean">1.2318501170960199</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161233 </labl><catStat type="freq">90</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">2970</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1206</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ShEoeazqzd6Rp6HUAW4a1Q==</notes></var><var ID="v35512802" name="V161233x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Favor or oppose death penalty</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.2943744331031835</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">1.8625292740046833</sumStat><catgry><catValu>3</catValu><labl level="category">3. Oppose not strongly</labl><catStat type="freq">557</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Oppose strongly</labl><catStat type="freq">734</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor strongly</labl><catStat type="freq">2236</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing: -8,-9 in V161233/V161233a</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor not strongly</labl><catStat type="freq">649</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161233/-8,-9 in V161233a</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6wb6oMb7i+Zk7VBR63ym2g==</notes></var><var ID="v35512861" name="V161234" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: U.S. more or less secure than when Pres took office</labl><sumStat type="medn">2.0</sumStat><sumStat type="mean">2.0309133489461333</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1924176234419883</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More secure</labl><catStat type="freq">760</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less secure</labl><catStat type="freq">2207</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No change</labl><catStat type="freq">1268</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fRPL5dIBnk/aRtf2wO4ajw==</notes></var><var ID="v35513162" name="V161235" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Economy better since 2008</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">1.7606557377049181</sumStat><sumStat type="stdev">1.1751497129976212</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Worse</labl><catStat type="freq">1442</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">1044</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Better</labl><catStat type="freq">1755</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w3yw+eTNYolmK59FbmwFrw==</notes></var><var ID="v35512868" name="V161235a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Economy better/worse since 2008 strength</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.8662763466042147</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1646631855988208</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">1575</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3.-8,-9 in V161235 </labl><catStat type="freq">1073</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">1622</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/3ies/3Rt+tJGylsfFEgCw==</notes></var><var ID="v35514231" name="V161235x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Economy since 2008</labl><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.6722050947048117</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.8339578454332557</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat better</labl><catStat type="freq">916</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat worse</labl><catStat type="freq">659</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. DK (-8) in V161235 or V161235a (FTF only)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (-9) in V161235 or V161235a</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About the same</labl><catStat type="freq">1044</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Much worse</labl><catStat type="freq">783</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better</labl><catStat type="freq">839</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I6HmhNOCXkYAbQe5PAqEsQ==</notes></var><var ID="v35513150" name="V161236" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Obama - angry</labl><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.5898998795628534</sumStat><sumStat type="mean">2.1854800936768166</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">1324</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1474</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">603</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">545</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:H/TLow1dbEUUgmLgMZgGeA==</notes></var><var ID="v35513546" name="V161237" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Affect for Obama - proud</labl><sumStat type="mean">2.5302107728337218</sumStat><sumStat type="stdev">1.6955982318511502</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">502</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Always</labl><catStat type="freq">481</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some of the time</labl><catStat type="freq">1139</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1189</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">927</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Lknc9tgQ4HFlnQRWjXKD5w==</notes></var><var ID="v35514027" name="V161238" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 2: How likely is it that R will vote in Nov</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.6704506152838217</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.2962529274004693</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Not likely at all</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">1376</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, R voted (4 in V161024x)/PLACEMENT 1 (10,11 in V161132)</labl><catStat type="freq">2230</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">252</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AfSyTOQ8HRnrkA4uZW3fGQ==</notes></var><var ID="v35514300" name="V161239a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 2: Percent for Democratic Pres candidate</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">900.0</sumStat><sumStat type="mean">23.791569086651098</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">34.61430389758175</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: late placement voter, not asked (11 in V161132)</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, early placement (10,11 in V161132)</labl><catStat type="freq">2159</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">61</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EBNcrVdmmDvMfonEE1hugA==</notes></var><var ID="v35512893" name="V161239b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 2: Percent for Republican Pres candidate</labl><sumStat type="stdev">27.116503645731758</sumStat><sumStat type="mean">20.070023419203718</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">659.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: late placement voter, not asked (11 in V161132)</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, early placement (10,11 in V161132)</labl><catStat type="freq">2159</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OK0zTvvK1EIMoFrSJIQrLg==</notes></var><var ID="v35513683" name="V161240a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 2: State percent for Democratic Pres candidate</labl><sumStat type="stdev">36.5187169669455</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">900.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">23.692271662763453</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: late placement voter, not asked (11 in V161132)</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, early placement (10,11 in V161132)</labl><catStat type="freq">2159</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">40</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R6cfMks7l2wrNMZYr7byyA==</notes></var><var ID="v35513194" name="V161240b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: PLACEMENT 2: State percent for Republican Pres candidate</labl><sumStat type="max">800.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">31.8708846809434</sumStat><sumStat type="mean">21.30843091334894</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, early placement (10,11 in V161132)</labl><catStat type="freq">2159</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: late placement voter, not asked (11 in V161132)</labl><catStat type="freq">71</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GpNvh968SeryEK6ROiiPJA==</notes></var><var ID="v35513705" name="V161241" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is religion important part of R life</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.9324687271763012</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.2805620608899275</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Important</labl><catStat type="freq">2781</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not important</labl><catStat type="freq">1462</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GR7Fxk73G4j4T/IqKit0lg==</notes></var><var ID="v35514362" name="V161242" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religion provides guidance in day-to-day living</labl><sumStat type="stdev">1.7788993672914333</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.1332552693208444</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A great deal</labl><catStat type="freq">1441</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Quite a bit</labl><catStat type="freq">779</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Some</labl><catStat type="freq">549</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161241 </labl><catStat type="freq">1489</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZHdYe5R7uszAvKvk471YBg==</notes></var><var ID="v35513470" name="V161243" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is Bible word of God or men</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5030004703385837</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.8044496487119466</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. The Bible is the word of God but not everything in it should be taken literally</labl><catStat type="freq">1942</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Bible is a book written by men and is not the word of God.</labl><catStat type="freq">1042</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The Bible is the actual word of God and is to be taken literally, word for word.</labl><catStat type="freq">1213</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cZk7G75/bWb4uM7RehVhJA==</notes></var><var ID="v35513601" name="V161244" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Ever attend church or religious services</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.8392590692850592</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.3543325526932088</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2551</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1700</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PQYB1cqhW8yb1lQo4D5zEQ==</notes></var><var ID="v35514348" name="V161245" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Attend religious services how often</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.977403241709637</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.0744730679156858</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. A few times a year</labl><catStat type="freq">704</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Once or twice a month</labl><catStat type="freq">471</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161244 </labl><catStat type="freq">1719</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Almost every week</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Every week</labl><catStat type="freq">788</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HOkzP9uDwOuMKD8rxFmEsA==</notes></var><var ID="v35513508" name="V161245a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Attend church more often than once a week</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.9861378279623361</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.5484777517564419</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2-5,-8,-9 in V161245/2,-8,-9 in V161244 </labl><catStat type="freq">3482</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. More often than once a week</labl><catStat type="freq">362</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Once a week</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RCmak80pv0d58qCpM4npyw==</notes></var><var ID="v35513828" name="V161246" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Ever think of self as part of church or denomination</labl><sumStat type="stdev">1.3814474728899346</sumStat><sumStat type="mean">-0.0035128805620636113</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">875</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1 in V161244 and 1-4,-8,-9 in V161245 </labl><catStat type="freq">2502</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KNicWFSQfrQMpIovhgGn3w==</notes></var><var ID="v35513566" name="V161247a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: (Attends church) R subjective description own major religious group</labl><sumStat type="mean">0.9447306791569083</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.9808734323516783</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Catholic</labl><catStat type="freq">643</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161244/1 in V161244 and 5 in V161245 </labl><catStat type="freq">1768</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Jewish</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Protestant</labl><catStat type="freq">919</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other</labl><catStat type="freq">885</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e/yBtI7NVdW+N+TQ3Y5yMA==</notes></var><var ID="v35512672" name="V161247b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: (Nonattendance) R subjective description of own major religious group</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.30257611241217797</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.517838927946106</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Protestant</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Catholic</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other</labl><catStat type="freq">299</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V161246/1 in V161244 and 1-4,-8,-9 in V161245 </labl><catStat type="freq">3395</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Jewish</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wjiAz6FJb7di3SPd/Z4bjw==</notes></var><var ID="v35513033" name="V161248" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R subjective description of own major relig denomination</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">19.431344999719855</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">8.003981264636984</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">95.0</sumStat><catgry><catValu>13</catValu><labl level="category">13. United Church of Christ</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Orthodox (SPECIFY)</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Hindu</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Mormon</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Muslim/Islam</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Unitarian/Universalist</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Pentecostal</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Other SPECIFY</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Baptist</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Church of God</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Jehovah's Witnesses</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">1925</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Holiness</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Assembly of God</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Evangelical United Brethren</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Native American</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Non-denominational - Protestant</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Brethren</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Reformed</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Disciples of Christ</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Methodist</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Christian or just Christian</labl><catStat type="freq">308</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Buddhist</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Friends, Quaker</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Presbyterian</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Christian Scientist</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Congregationalist</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Lutheran</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Episcopalian/Anglican/Church of England</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Latter Day Saints</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Just Protestant</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Church (or Churches) of Christ</labl><catStat type="freq">49</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CsiFHnEyHsDuBHb2djWIzw==</notes></var><var ID="v35513748" name="V161249" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Baptist denomination</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">8.240739084464721</sumStat><sumStat type="max">95.0</sumStat><sumStat type="mean">-0.00585480093677113</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Independent Baptist</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. American Baptist Association</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Other SPECIFY</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Southern Baptist Convention</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">3727</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. National Baptist Convention</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. American Baptist Churches in USA</labl><catStat type="freq">53</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QYcAeCn98o7DcaIV+cOKuQ==</notes></var><var ID="v35514202" name="V161250" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific indep. Baptist denomination</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.9283372365339575</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.47963228535920077</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Local</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-5,-8,-9 in V161249/2-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V1612 </labl><catStat type="freq">4164</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Larger Baptist group (SPECIFY)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DlaCaFy5PPskdyitFV4yCA==</notes></var><var ID="v35513326" name="V161251" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Lutheran denomination</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.7738407321165746</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.9210772833723663</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Evangelical Lutheran Church</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,4-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4072</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Missouri Synod</labl><catStat type="freq">48</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Mmz9CWOVDx49+Q69S386FQ==</notes></var><var ID="v35513592" name="V161252" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Methodist denomination</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">0.5199585614191133</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.8941451990632321</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. African Methodist Episcopal</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. African Methodist Episcopal Zion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-3,5-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4050</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. United Methodist Church</labl><catStat type="freq">203</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kMhDFh76NNtY09kdBtKtgQ==</notes></var><var ID="v35512996" name="V161253" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Presbyterian denomination</labl><sumStat type="stdev">0.37184020179165156</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9522248243559713</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-5,7-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4184</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Presbyterian Church USA (formerly United Presbyterian Church)</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7VIAymRGjvMS0BkJrttOeA==</notes></var><var ID="v35513372" name="V161254" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Reformed denomination</labl><sumStat type="stdev">0.1358652589393907</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9932084309133491</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-6,8-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4259</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian Reformed Church</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. The Reformed Church in America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IZCEBDswwDWqty31bk0f9A==</notes></var><var ID="v35513360" name="V161255" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Brethren denomination</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.11138139148903238</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.9969555035128805</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Church of the Brethren</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. The Plymouth Brethren</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-7,9-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4266</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zskqSnBQrNF09JpU2lgjlw==</notes></var><var ID="v35513467" name="V161256" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Disciples denomination</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.7744730679156906</sumStat><sumStat type="stdev">0.8635967708482876</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-9,11-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">3962</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Disciples of Christ</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. I am just a Christian</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">27</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ic9Y+FR9QZEkiAj8MbaF0g==</notes></var><var ID="v35513281" name="V161257" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Church of Christ denomination</labl><sumStat type="mean">-0.9761124121779856</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.22366622245703238</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-11,13-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4221</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Church of Christ</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. United Church of Christ</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Wm0MT9CSSbk2LRdy6v6ZmQ==</notes></var><var ID="v35513179" name="V161258" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Church of God denomination</labl><sumStat type="stdev">0.34564445076148137</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mean">-0.9784543325526932</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Cleveland, Tennessee</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Anderson, Indiana</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Church of God in Christ</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-14,16-30,95,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4246</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:54PBD0fSHtLKT4tdvl08oQ==</notes></var><var ID="v35512739" name="V161259" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific Holiness Pentecostal denomination (open-end)</labl><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513813" name="V161260" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R description of specific other denomination (open-end)</labl><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513942" name="V161261" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Specific other denomination Christian</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.9203747072599536</sumStat><sumStat type="stdev">0.46446139259536456</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-30,-8,-9 in V161248/2,3,-8,-9 in V161247b/2,3,-8,-9 in V161247a/2,-8,-9 in V161246 </labl><catStat type="freq">4108</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">36</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vDTinBI90AYXWQTAwhW2rA==</notes></var><var ID="v35513399" name="V161262a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: (Attends) Specific Jewish denomination</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.40877604688111346</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.970725995316159</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,4,-8,-9 in V161247a/2,-8,-9 in V161244/1 in V161244 and 5 in V161245 </labl><catStat type="freq">4224</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Orthodox</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Reform</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF ONLY)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Conservative</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RaS5/rF07iFSFqEbJwl1uw==</notes></var><var ID="v35513658" name="V161262b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: (Nonattendance) Specific Jewish denomination</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.43715574585666656</sumStat><sumStat type="mean">-0.959016393442623</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Conservative</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF ONLY)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V161244 and 1-4,-8,-9 in V161245; 2,-8,-9 in V161244 and 2,-8,-9 in V161246 </labl><catStat type="freq">4231</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Reform</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Orthodox</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EcfpoZlrnGjFusCcPdOySA==</notes></var><var ID="v35512682" name="V161263" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does Christian R consider self born again</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.613798035834042</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.6077283372365392</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF ONLY)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161261/27-30 in V161248/3,-8,-9 in V161247a/V161247b/4 in V161247a/V161247b and -8,-9 in V16124 </labl><catStat type="freq">1120</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1596</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming error, 2 in V161247a and not asked</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1359</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/1cWML2R6P1ueb5YwXhZ0w==</notes></var><var ID="v35512833" name="V161264x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Full religion summary</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">301.0</sumStat><sumStat type="min">10.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">889.0</sumStat><sumStat type="mean">389.66487119438005</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">297.95816726172734</sumStat><catgry><catValu>124</catValu><labl level="category">124. Missionary Baptist; Baptist Missionary Association of America</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>650</catValu><labl level="category">650. Messianic Judaism; Jews for Jesus</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>110</catValu><labl level="category">110. Episcopalian; Anglican</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>220</catValu><labl level="category">220. Evangelical Lutheran Church in America (formerly Lutheran Church in America and The American Lutheran Church); ELCA</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>135</catValu><labl level="category">135. Southern Baptist Convention</labl><catStat type="freq">266</catStat></catgry><catgry><catValu>134</catValu><labl level="category">134. Reformed Baptist (Calvinist)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>524</catValu><labl level="category">524. Jewish, other, no preference, or NFS</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>234</catValu><labl level="category">234. Primitive Methodist</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>400</catValu><labl level="category">400. Roman Catholic</labl><catStat type="freq">937</catStat></catgry><catgry><catValu>155</catValu><labl level="category">155. Congregational Christian</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>735</catValu><labl level="category">735. Spiritualists (not 'spiritual; must refer specifically to 'Spiritualism' or 'Spiritualists')</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>233</catValu><labl level="category">233. Christian Methodist Episcopal Church</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>279</catValu><labl level="category">279. Presbyterian (other or NFS)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>199</catValu><labl level="category">199. Pentecostal (NFS); Church of God (NFS); Holiness (NFS); not ascertained whether R Pentecostal or Charismatic (Holin</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>109</catValu><labl level="category">109. Adventist (NFS)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>730</catValu><labl level="category">730. Sikh</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>166</catValu><labl level="category">166. Evangelical Covenant Church (not Anabaptist in tradition)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>131</catValu><labl level="category">131. National Primitive Baptist Convention of the USA</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>245</catValu><labl level="category">245. Bible Way Church of Our Lord Jesus Christ</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>300</catValu><labl level="category">300. Christian Scientists</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>251</catValu><labl level="category">251. Church of God (Cleveland, TN)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>246</catValu><labl level="category">246. International Bible Way Church of Our Lord Jesus Christ</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>304</catValu><labl level="category">304. Jehovah's Witnesses</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>736</catValu><labl level="category">736. Religious Science; Science of Mind (not Scientology; not Christian Scientists); Centers for Spiritual Living</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>262</catValu><labl level="category">262. Vineyard Fellowship</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>720</catValu><labl level="category">720. Muslim; Islam</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>171</catValu><labl level="category">171. Apostolic Christian Church Nazarene</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>224</catValu><labl level="category">224. Lutheran Free Church, Association of Free Lutheran Churches, AFLC</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>723</catValu><labl level="category">723. Baha'i; Bahai</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>502</catValu><labl level="category">502. Conservative</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>270</catValu><labl level="category">270. Presbyterian Church in the U.S.A.</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>261</catValu><labl level="category">261. Church of God of Prophecy</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>164</catValu><labl level="category">164. Old Order Amish</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>706</catValu><labl level="category">706. Armenian Orthodox</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>291</catValu><labl level="category">291. Christian Churches and Churches of Christ</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>721</catValu><labl level="category">721. Buddhist</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>122</catValu><labl level="category">122. Baptist Bible Fellowship</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>200</catValu><labl level="category">200. Plymouth Brethren</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>703</catValu><labl level="category">703. Rumanian Orthodox</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>501</catValu><labl level="category">501. Orthodox</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>125</catValu><labl level="category">125. Conservative Baptist Association of America</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>243</catValu><labl level="category">243. Church of Our Lord Jesus Christ of the Apostolic Faith; COOLJC</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>306</catValu><labl level="category">306. Fundamentalist Adventist; Worldwide Church of God; United Church of God</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>503</catValu><labl level="category">503. Reform</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>724</catValu><labl level="category">724. American Indian religions; Native American religions</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>163</catValu><labl level="category">163. Moravian Church</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>695</catValu><labl level="category">695. More than 1 major religion (e.g., Christian, Jewish, Muslim, etc.)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>101</catValu><labl level="category">101. Sabbatarian</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>255</catValu><labl level="category">255. Pentecostal Holiness Church</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>181</catValu><labl level="category">181. Church of God (Anderson, IN)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>702</catValu><labl level="category">702. Russian Orthodox</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>256</catValu><labl level="category">256. United Pentecostal Church International</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>293</catValu><labl level="category">293. Christian Congregation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>132</catValu><labl level="category">132. Progressive National Baptist Convention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>128</catValu><labl level="category">128. Primitive Baptist</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>870</catValu><labl level="category">870. Other tradition not codeable to 010-790 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>264</catValu><labl level="category">264. Full Gospel</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>260</catValu><labl level="category">260. Church of God of the Apostolic Faith</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>281</catValu><labl level="category">281. Reformed Church in America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>169</catValu><labl level="category">169. Apostolic Christian Church of America</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>165</catValu><labl level="category">165. Quakers; Friends</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>129</catValu><labl level="category">129. National Baptist Convention in the USA</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>727</catValu><labl level="category">727. Pagan</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>168</catValu><labl level="category">168. Brethren in Christ</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>185</catValu><labl level="category">185. Wesleyan Church</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>240</catValu><labl level="category">240. Fire-Baptized Holiness</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>232</catValu><labl level="category">232. African Methodist Episcopal Zion Church</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>267</catValu><labl level="category">267. Apostolic Pentecostal</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>170</catValu><labl level="category">170. Mennonite Brethren</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>701</catValu><labl level="category">701. Greek Orthodox</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>725</catValu><labl level="category">725. New Age</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>123</catValu><labl level="category">123. Baptist General Conference</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>263</catValu><labl level="category">263. Open Bible Standard Churches</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>229</catValu><labl level="category">229. Lutheran (other or NFS)</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>708</catValu><labl level="category">708. Ukrainian Orthodox</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>705</catValu><labl level="category">705. Syrian Orthodox</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>600</catValu><labl level="category">600. Catholic and  Protestant</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>271</catValu><labl level="category">271. Cumberland Presbyterian Church</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>880</catValu><labl level="category">880. None</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>719</catValu><labl level="category">719. Eastern Orthodox (NFS or other specific Orthodox church)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>121</catValu><labl level="category">121. American Baptist Churches USA (wrongly aka 'Northern Baptist')</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>186</catValu><labl level="category">186. Church of God of Findlay, OH</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>889</catValu><labl level="category">889. RF to say if considers self as part of a particular religion</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>305</catValu><labl level="category">305. Unity; Unity Church; Christ Church Unity</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>257</catValu><labl level="category">257. Church of God in Christ (incl. not ascertained whether 258)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>254</catValu><labl level="category">254. Pentecostal Church of God</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>160</catValu><labl level="category">160. Church of the Brethren</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>276</catValu><labl level="category">276. Reformed Presbyterian</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>888</catValu><labl level="category">888. DK whether considers self as part of a particular religion</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>750</catValu><labl level="category">750. Scientology</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>242</catValu><labl level="category">242. Assemblies of the Lord Jesus Christ; AJLC</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>219</catValu><labl level="category">219. Independent-Fundamentalist (NFS)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>222</catValu><labl level="category">222. Wisconsin Evangelical Lutheran Synod; WELS</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>149</catValu><labl level="category">149. Baptist (NFS or other Baptist group not in codes 120-135)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>184</catValu><labl level="category">184. Salvation Army</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">010. Protestant, NFS, other, unknown, inter-, or non-denominational</labl><catStat type="freq">387</catStat></catgry><catgry><catValu>707</catValu><labl level="category">707. Georgian Orthodox</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>244</catValu><labl level="category">244. Church of the Lord Jesus Christ of the Apostolic Faith; CLJC</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>704</catValu><labl level="category">704. Serbian Orthodox</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Greek Rite Catholic</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>136</catValu><labl level="category">136. Full Gospel Baptist Church Fellowship</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>249</catValu><labl level="category">249. Methodist (other or NFS)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>740</catValu><labl level="category">740. Other non-Christian/non-Jewish</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>272</catValu><labl level="category">272. Presbyterian Church in America; PCA</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>201</catValu><labl level="category">201. Independent Fundamental Churches of America; IFCA</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>732</catValu><labl level="category">732. Konko Church</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>183</catValu><labl level="category">183. Free Methodist Church</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>231</catValu><labl level="category">231. African Methodist Episcopal Church; AME</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>879</catValu><labl level="category">879. R indicates having an affiliation but does not specify one</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>120</catValu><labl level="category">120. American Baptist Association</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>133</catValu><labl level="category">133. National Baptist Convention NFS</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>150</catValu><labl level="category">150. United Church of Christ; UCC; Congregational; Congregationalist; Evangelical and Reformed Church</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>235</catValu><labl level="category">235. Congregational Methodist (fundamentalist)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>280</catValu><labl level="category">280. Christian Reformed Church (inaccurately known as 'Dutch Reformed')</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>180</catValu><labl level="category">180. Christian and Missionary Alliance; CMA; Alliance</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>290</catValu><labl level="category">290. Christian Church; Disciples of Christ</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>301</catValu><labl level="category">301. Mormons; Latter Day Saints; Community of Christ</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>162</catValu><labl level="category">162. Mennonite Church</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>258</catValu><labl level="category">258. Church of God in Christ International</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>275</catValu><labl level="category">275. Evangelical Presbyterian</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>790</catValu><labl level="category">790. Religious/ethical cults</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>182</catValu><labl level="category">182. Church of the Nazarene</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>722</catValu><labl level="category">722. Hindu</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>100</catValu><labl level="category">100. 7th Day Adventist</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>289</catValu><labl level="category">289. Reformed (other or NFS)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>253</catValu><labl level="category">253. International Church of the Four Square Gospel</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>252</catValu><labl level="category">252. Church of God (Huntsville, AL)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>292</catValu><labl level="category">292. Churches of Christ; Church of Christ (NFS)</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>161</catValu><labl level="category">161. Brethren (NFS)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>221</catValu><labl level="category">221. Lutheran Church, Missouri Synod; LC-MS</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>230</catValu><labl level="category">230. United Methodist Church; Evangelical United Brethren</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>225</catValu><labl level="category">225. Church of the Lutheran Brethren</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>167</catValu><labl level="category">167. Evangelical Free Church, EFC, or EFCA (not Anabaptist in tradition)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>726</catValu><labl level="category">726. Wicca; Wiccan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>303</catValu><labl level="category">303. Unitarian; Universalist</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>99</catValu><labl level="category">099. Christian, NFS, unknown, inter-, or non-denominational</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>130</catValu><labl level="category">130. National Baptist Convention of America</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>250</catValu><labl level="category">250. Assemblies of God; Assembly of God</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>126</catValu><labl level="category">126. General Association of Regular Baptist Churches; GARB</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>127</catValu><labl level="category">127. National Association of Free Will Baptists; United Free Will Baptist Church</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Mgv9PTp60+CKuCZusNXVcw==</notes></var><var ID="v35512593" name="V161265x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Major group religion summary</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">8.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">4.307494145199058</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">2.521551992803915</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Roman Catholic</labl><catStat type="freq">937</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, item nonresponse</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Black Protestant</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Not religious</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Undifferentiated Christian</labl><catStat type="freq">674</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jewish</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other religion</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Evangelical Protestant</labl><catStat type="freq">765</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mainline Protestant</labl><catStat type="freq">625</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kUWns49uia0N1nNGarv6Dg==</notes></var><var ID="v35512969" name="V161266a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Fundamentalist</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.001063666780341</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.07939110070257718</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4081</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tmGV1JpYaDDbBdHaxJSOdA==</notes></var><var ID="v35513598" name="V161266b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Charismatic/Pentecostal</labl><sumStat type="stdev">1.003626445687688</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.07494145199063228</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4062</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yuoLKzQcTQpH6Ki/+a67rg==</notes></var><var ID="v35514403" name="V161266c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Born again</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.0732983750939074</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.06885245901639392</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">768</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3448</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/szM55nM5otC97VG8WHOFw==</notes></var><var ID="v35514009" name="V161266d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Evangelical</labl><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.0227067900628535</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.040281030444964935</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3914</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Cn4zk90ve6RhFQ1l0R3/lQ==</notes></var><var ID="v35512618" name="V161266e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Traditional</labl><sumStat type="stdev">1.111749183946892</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">0.1807962529274014</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2970</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1246</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UhMfzxGyHhkoFmDrKf7tnQ==</notes></var><var ID="v35513420" name="V161266f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Mainline</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.08571428571428473</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.9973763393488121</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4108</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w50tkCT7WjFIg4th2/wrxA==</notes></var><var ID="v35513063" name="V161266g" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Progressive</labl><sumStat type="stdev">1.0152852972818027</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.05409836065573794</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3973</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">243</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0LDYMD3V4Bnr8cuMgFH15Q==</notes></var><var ID="v35513523" name="V161266h" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Non-traditional</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.0461358313817332</sumStat><sumStat type="stdev">1.0195915525313954</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3939</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">277</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e1TfzFytuzQ7TjwG56YvHw==</notes></var><var ID="v35513550" name="V161266j" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Secular</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.9936350816920131</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.0920374707259947</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4135</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dDoQGnsnOspGi1QqDm7CfQ==</notes></var><var ID="v35514210" name="V161266k" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Agnostic</labl><sumStat type="mean">-0.047775175644027716</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.0187115475866644</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3946</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">270</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qOppqdogPv6wyqKdTo6REQ==</notes></var><var ID="v35512935" name="V161266m" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Atheist</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.07142857142857212</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.005631168362682</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4047</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">169</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZBvbhffv6k6Ns8B42sTZ+A==</notes></var><var ID="v35513918" name="V161266n" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: Spiritual but not religious</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.1112412177985963</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.0893724590531089</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">949</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3267</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Dq0uwTeLOv74raECTkwpXw==</notes></var><var ID="v35512768" name="V161266p" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Religious identification type: None of the above</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.046997792452121</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.008430913348946684</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3706</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">510</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (entire question, FTF only)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kpIjYrlkbGvuxuOfP1keJQ==</notes></var><var ID="v35513987" name="V161267" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Respondent age</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">49.0</sumStat><sumStat type="max">90.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">19.867335487401963</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">47.92248243559718</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. DK (year of birth, FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Age 90 or older</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. RF (year of birth)</labl><catStat type="freq">120</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qqCu+775eaycUCUZeZr1KQ==</notes></var><var ID="v35514263" name="V161267a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- Birthdate: month of birth</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35514306" name="V161267b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- Birthdate: day of birth</labl><sumStat type="mean">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513517" name="V161267c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Birthdate: year of birth</labl><sumStat type="mean">1910.4400468384072</sumStat><sumStat type="medn">1965.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1998.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">328.2844181595727</sumStat><catgry><catValu>1926</catValu><labl level="category">1926. Year 1926 or earlier</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sxCbn+5dJxZ2jZr8gtRB/Q==</notes></var><var ID="v35514413" name="V161267x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Respondent age group</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">7.172131147540983</sumStat><sumStat type="max">13.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">3.720829658051965</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>8</catValu><labl level="category">08. Age group 50-54 </labl><catStat type="freq">349</catStat></catgry><catgry><catValu>4</catValu><labl level="category">04. Age group 30-34 </labl><catStat type="freq">387</catStat></catgry><catgry><catValu>6</catValu><labl level="category">06. Age group 40-44 </labl><catStat type="freq">281</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Age group 65-69 </labl><catStat type="freq">384</catStat></catgry><catgry><catValu>7</catValu><labl level="category">07. Age group 45-49 </labl><catStat type="freq">339</catStat></catgry><catgry><catValu>2</catValu><labl level="category">02. Age group 21-24 </labl><catStat type="freq">207</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Age group 70-74 </labl><catStat type="freq">239</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Age group 75 or older</labl><catStat type="freq">328</catStat></catgry><catgry><catValu>5</catValu><labl level="category">05. Age group 35-39 </labl><catStat type="freq">374</catStat></catgry><catgry><catValu>3</catValu><labl level="category">03. Age group 25-29 </labl><catStat type="freq">323</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Birth year missing</labl><catStat type="freq">121</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Age group 60-64 </labl><catStat type="freq">385</catStat></catgry><catgry><catValu>9</catValu><labl level="category">09. Age group 55-59 </labl><catStat type="freq">432</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. Age group 18-20 </labl><catStat type="freq">121</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, birthyear missing</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BS8vLOVebk9icrXeyU/z1A==</notes></var><var ID="v35513609" name="V161268" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R marital status</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">2.3009174883425136</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">2.864871194379392</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Married: spouse present</labl><catStat type="freq">2084</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Never married</labl><catStat type="freq">1038</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Divorced</labl><catStat type="freq">663</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Widowed</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Separated</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Married: spouse absent [FTF ONLY: volunteered]</labl><catStat type="freq">58</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gWRbvSY7f98GPOgBAceVew==</notes></var><var ID="v35513746" name="V161269" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Domestic partnership status</labl><sumStat type="stdev">1.5713760881758965</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.34215456674473155</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1 in V161268/2,-8,-9 in V161268 (FTF ONLY)</labl><catStat type="freq">2148</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, not living with a partner</labl><catStat type="freq">1697</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, living with a partner</labl><catStat type="freq">404</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u+m6FMAtewFXAUGpc4n8RQ==</notes></var><var ID="v35513091" name="V161270" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Highest level of Education</labl><sumStat type="mean">11.663466042154564</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">11.0</sumStat><sumStat type="stdev">7.302123808260532</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">95.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. 7th or 8th grade</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Other specify given as: high school graduate</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. 10th grade</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5th or 6th grade</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Other SPECIFY</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 1st, 2nd, 3rd or 4th grade</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Bachelor's degree (for example: BA, AB, BS)</labl><catStat type="freq">955</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. 11th grade</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Associate degree in college - occupational/vocational program</labl><catStat type="freq">313</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Associate degree in college -- academic program</labl><catStat type="freq">288</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Master's degree (for example: MA, MS, MENG, MED, MSW, MBA)</labl><catStat type="freq">499</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. 9th grade</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. High school graduate- high school diploma or equivalent (for example: GED)</labl><catStat type="freq">810</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Some college but no degree</labl><catStat type="freq">898</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Less than 1st grade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 12th grade no diploma</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Doctorate degree (for example: PHD, EDD)</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Professional school degree (for example: MD, DDS, DVM, LLB, JD)</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YumLLwQ7Qais1PZbWgVVyw==</notes></var><var ID="v35513123" name="V161271" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R high school completion- diploma or GED</labl><sumStat type="stdev">0.8774746793033875</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.589929742388757</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Graduation from high school</labl><catStat type="freq">668</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Ged or other equivalent</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-8,10-95,-8,-9 in V161270 </labl><catStat type="freq">3460</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cB+vkk3csE1/Wo5lUYyCYQ==</notes></var><var ID="v35513688" name="V161272" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Spouse partner: Highest Level of Education</labl><sumStat type="mean">6.566978922716615</sumStat><sumStat type="stdev">8.329003476144226</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>95</catValu><labl level="category">95. Other SPECIFY</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. 9th grade</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,4,5,6 in V161268 and 2,-9 in V161269/-9 in V161268 and 2,-9 in V161269 (WEB only)/-8,-9 in V161268 (FTF ON</labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. High school graduate- high school diploma or equivalen (for example: GED)</labl><catStat type="freq">479</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. 11th grade</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 1st, 2nd, 3rd or 4th grade</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5th or 6th grade</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Doctorate degree (for example: PHD, EDD)</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Less than 1st grade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Master's degree (for example: MA, MS, MENG, MED, MSW, MBA)</labl><catStat type="freq">316</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Bachelor's degree (for example: BA, AB, BS)</labl><catStat type="freq">640</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Other specify given as: no partner</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Associate degree in college -- academic program</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Some college but no degree</labl><catStat type="freq">487</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 12th grade no diploma</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Professional school degree (for example: MD, DDS, DVM, LLB, JD)</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. 10th grade</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. 7th or 8th grade</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Associate degree in college - occupational/vocational program</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Other specify given as: high school graduate</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jUjhdMq+dBOIU1dILQ45xQ==</notes></var><var ID="v35513522" name="V161273" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Spouse high school completion- diploma or GED</labl><sumStat type="stdev">0.697552952463236</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.7562060889929737</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Graduation from high school</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Ged or other equivalent</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-8,10-99,-8,-9 in V161272/3,4,5,6 in V161268 and 2,-9 in V161269/-9 in V161268 and 2,-9 in V161269 (WEB onl</labl><catStat type="freq">3791</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mSY1eKbnbquusAewMFU75Q==</notes></var><var ID="v35513771" name="V161274a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Previously served on active duty in armed forces</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.5736160467481691</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.08290398126463765</sumStat><catgry><catValu>0</catValu><labl level="category">0. Have never served on active duty</labl><catStat type="freq">3796</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have previously served on active duty</labl><catStat type="freq">462</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W9IF1czrMipc9EYgSr/RaQ==</notes></var><var ID="v35513037" name="V161274b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- Now serving on active duty in armed forces</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access for protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513712" name="V161275x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - R occupation status 2 digit</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">22.3507271082716</sumStat><sumStat type="medn">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">81.0</sumStat><sumStat type="mean">26.576814988290405</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>18</catValu><labl level="category">18. Working now and student, working >=20 hours per wk</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Working now and retired, working >=20 hours per wk</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Unemployed, no mention of retired, disabled, homemaker or student</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Homemaker and student, no other occupation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Working now and perm. Disabled, working >=20 hours per wk</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Retired, no other occupation</labl><catStat type="freq">819</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Homemaker, no other occupation</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Homemaker and working now, working &lt;20 hours per wk or DK/RF hours</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Student and working now, working &lt;20 hours per wk or DK/RF hours</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Working now and homemaker, working >=20 hours per wk</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Temporarily laid off</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Retired and working now, working &lt;20 hours per wk or DK/RF hours</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Permanently disabled, not working</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Perm disabled and working now, working &lt;20 hours per wk or DK/RF hours</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Student, no other occupation</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Working now only</labl><catStat type="freq">2546</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused employment status</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/s6HMhiFF3qJsQygjcVExQ==</notes></var><var ID="v35513386" name="V161276x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - R occupation status 1 digit</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.3390955767299095</sumStat><sumStat type="max">8.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">2.614754098360657</sumStat><catgry><catValu>5</catValu><labl level="category">5. R retired (if also working, working &lt;20 hrs/wk)</labl><catStat type="freq">876</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. R temporarily laid off</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R permanently disabled (if also working, working &lt;20 hrs/wk)</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused employment status</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R student (if also working, working &lt;20 hrs/wk)</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R unemployed</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R homemaker (if also working, working &lt;20 hrs/wk/incl nonworkg rs both homemaker and student)</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. R working now (if also retired, disabled, homemaker or student, working 20 or more hrs/wk)</labl><catStat type="freq">2622</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FOnXfsdXG24hQmhUoK6mlQ==</notes></var><var ID="v35513151" name="V161277" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial R employment status, start of occupation module</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">2.7025761124121797</sumStat><sumStat type="max">8.0</sumStat><sumStat type="stdev">2.3751205003402944</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Initial employment status: permanently disabled</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Initial employment status: student</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Initial employment status: unemployed</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Initial employment status: retired</labl><catStat type="freq">922</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Initial employment status: homemaker</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Initial employment status: working now</labl><catStat type="freq">2546</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused employment status</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Initial employment status: temporarily laid off</labl><catStat type="freq">49</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Kj4op043qIqVnoZbOTy8rA==</notes></var><var ID="v35513209" name="V161278" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status Homemaker student: working now</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.7765807962529274</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.7723947179305496</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1-6,-9 in V161277 </labl><catStat type="freq">3935</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MwQBxqt1Ut0ljtqWCsgv7w==</notes></var><var ID="v35512756" name="V161279" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status Homemaker student: job in last 6 mon</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.699794143589653</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.8154566744730677</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP 1,-8,-9 in V161278/1-6,-9 in V161277 </labl><catStat type="freq">3986</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rZ6nO9bn9oRUlqBSdORdOA==</notes></var><var ID="v35513312" name="V161280a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED: Initial status retiree - month when retired</labl><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512602" name="V161280b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED: Initial status retiree - day when retired</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513905" name="V161280c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status retiree - year when retired</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">415.9829039812645</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2016.0</sumStat><sumStat type="stdev">814.0312572239691</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP 1-4,6-8,-9 in V161277 </labl><catStat type="freq">3348</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J9TPK4k9kyGMxEP+pOpPrQ==</notes></var><var ID="v35512932" name="V161281" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status unemployed disabled: R ever work for pay</labl><sumStat type="mean">-0.8100702576112415</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6120073953676328</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,5,7,8,-9 in V161277 </labl><catStat type="freq">3868</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BG0bAxwp/WF3xK4y/Sodtw==</notes></var><var ID="v35513763" name="V161282a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- Past occupation (R ret dis unemp hmkr stud)</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512730" name="V161282b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- Past occupation (R ret dis unemp hmkr stud)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">13.00819672131147</sumStat><sumStat type="stdev">25.887546752442375</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>50</catValu><labl level="category">50. Personal Appearance Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Supervisors of Farming, Fishing, and Forestry Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Preschool, Primary, Secondary, and Special Education School Teachers</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Sales Representatives, Wholesale and Manufacturing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Building Cleaning and Pest Control Workers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Supervisor of Personal Care and Service Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Postsecondary Teachers</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Financial Specialists</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Other Healthcare Practitioners and Technical Occupations</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Fire Fighting and Prevention Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Secretaries and Administrative Assistants</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Other Education, Training, and Library Occupations</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Grounds Maintenance Workers</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>73</catValu><labl level="category">73. Other Construction and Related Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Baggage Porters, Bellhops, and Concierges</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Animal Care and Service Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Other Protective Service Workers</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Health Technologists and Technicians</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2910</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Life, Physical, and Social Science Technicians</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Operations Specialties Managers</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Social Scientists and Related Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Communications Equipment Operators</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Vehicle and Mobile Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Teachers and Instructors</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Legal Support Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. First-Line Enlisted Military Supervisors</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>72</catValu><labl level="category">72. Helpers, Construction Trades</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Drafters, Engineering Technicians, and Mapping Technicians</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Media and Communication Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Occupational Therapy and Physical Therapist Assistants and Aides</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Supervisors of Sales Workers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>94</catValu><labl level="category">94. Material Moving Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>93</catValu><labl level="category">93. Other Transportation Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Fishing and Hunting Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Librarians, Curators, and Archivists</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other management Occupations</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Construction Trades Workers</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Computer Occupations</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Religious Workers</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Supervisors of Construction and Extraction Workers</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Engineers</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>98</catValu><labl level="category">98. Don't Know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Retail Sales Workers</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Art and Design Workers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. Forest, Conservation, and Logging Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Media and Communication Equipment Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Law Enforcement Workers</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Food Processing Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Other Installation, Maintenance, and Repair Occupations</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Sales Representatives, Services</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Health Diagnosing and Treating Practitioners</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>92</catValu><labl level="category">92. Water Transportation Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>89</catValu><labl level="category">89. Air Transportation Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Architects, Surveyors, and Cartographers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Other Sales and Related Workers</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Food and Beverage Serving Workers</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Military Enlisted Tactical Operations and Air/Weapons Specialists and Crew Members</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Military</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Funeral Service Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>91</catValu><labl level="category">91. Rail Transportation Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Lawyers, Judges, and related Workers</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Supervisors of Transportation and Material Moving Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>86</catValu><labl level="category">86. Plant and System Operators</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. Printing Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Life Scientists</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Supervisors of Building and Grounds Cleaning and Maintenance Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Business Operations Specialists</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. Woodworkers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mathematical Science Occupations</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Entertainment Attendants and Related Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>74</catValu><labl level="category">74. Extraction Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Information and Record Clerks</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. Textile, Apparel, and Furnishing Workers</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Electrical and Electronic Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. Metal Workers and Plastic Workers</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't Know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Supervisors of Food Preparation and Service Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Tour and Travel Guides</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Assemblers and Fabricators</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Military Officer Special and Tactical Operations Leaders</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>87</catValu><labl level="category">87. Other Production Occupations</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Other Healthcare Support Occupations</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Cooks and Food Preparation Workers</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Supervisors of Protective Service Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Counselors, Social Workers, and Other Community and Social Services Specialists</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Advertising, Marketing, Promotions, Public Relations, and Sales Managers</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nursing, Psychiatric, and Home Health Aides</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Supervisors of Production Workers</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Financial Clerks</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Matertial Recordingm Scheduling, Dispatching, and Distributing Workers</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Other Personal Care and Service Workers</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Supervisors of Office and Administrative Support Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Other Office and Administrative Support Workers</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Agricultural Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Supervisors of Installation, Maintenance, and Repair Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Top Executives</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Physical Scientists</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Entertainers and Performers, Sports and Related Works</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Other Food Preparation and Serving Related Works</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Motor Vehicle Operators</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5DdvKlMfGnXzmxYIk6/VLw==</notes></var><var ID="v35513115" name="V161283a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- Past industry (R ret dis unemp hmkr stud)</labl><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513545" name="V161283b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- Past industry (R ret dis unemp hmkr stud)</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">33.45263802201322</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">19.233489461358324</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>99</catValu><labl level="category">99. National Security and International Affairs</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Miscellaneous Store Retailers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. Amusement, Gambling, and Recreation Industries</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Primary Metal Manufacturing</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oil and Gas Extraction</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Nonmetallic Mineral Product Manufacturing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Sporting Goods, Hobby, Book,and Music Stores</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Administration of Environmental Quality Programs</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>89</catValu><labl level="category">89. Personal and Laundry Services</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Water Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Scenic and Sightseeing Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Heavy and Civil Engineering Construction</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Real Estate</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Miscellaneous Manufacturing</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Publishing Industries (except Internet)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Health and Personal Care Stores</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Apparel Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Ambulatory Health Care Services</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Securities, Commodity Contracts, and Other Financial Investments and Related Activities</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Mining (except Oil and Gas)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Truck Transportation</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Warehousing and Storage</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Building Material and Garden Equipment and Supplies Dealers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Rail Transportation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Transportation Equipment Manufacturing</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Support Activities for Agriculture and Forestry</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Forestry and Logging</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Textile Mills</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Petroleum and Coal Products Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>73</catValu><labl level="category">73. Lessors of Nonfinancial Intangible Assets (except Copyrighted Works)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Wholesale Electronic Markets and Agents and Brokers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Machinery Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Credit Intermediation and Related Activities</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2910</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Utilities</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Air Transportation</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Repair and Maintenance</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Postal Service</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Funds, Trusts, and Other Financial Vehicles</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Furniture and Home Furnishings Stores</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>91</catValu><labl level="category">91. Private Households examples</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>87</catValu><labl level="category">87. Food Services and Drinking Places</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>100</catValu><labl level="category">100. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Internet Service Providers, Web Search Portals, and Data Processing Services</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Specialty Trade Contractors</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Pipeline Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Animal Production</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Management of Companies and Enterprises</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Nursing and Residential Care Facilities</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Chemical Manufacturing</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>101</catValu><labl level="category">101. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>92</catValu><labl level="category">92. Executive, Legislative, and Other General Government Support</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Telecommunications</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. General Merchandise Stores</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Printing and Related Support Activities</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. Performing Arts, Spectator Sports, and Related Industries</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Wood Product Manufacturing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Waste Management and Remediation Services</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>98</catValu><labl level="category">98. Space Research and Technology</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Merchant Wholesalers, Nondurable Goods</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Furniture and Related Product Manufacturing</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Administrative and Support Services</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. Insurance Carriers and Related Activities</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Construction of Buildings</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Other Information Services</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Food Manufacturing</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Gasoline Stations</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Plastics and Rubber Products Manufacturing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Transit and Ground Passenger Transportation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Support Activities for Mining</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Motor Vehicle and Parts Dealers</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Leather and Allied Product Manufacturing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Hospitals</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>72</catValu><labl level="category">72. Rental and Leasing Services</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. Social Assistance</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. Museums, Historical Sites, and Similar Institutions</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Support Activities for Transportation</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. Administration of Housing Programs, Urban Planning, and Community Development</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Food and Beverage Stores</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Textile Product Mills</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Monetary Authorities - Central Bank</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Electronics and Appliance Stores</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Religious, Grantmaking, Civic, Professional, and Similar Organizations</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Computer and Electronic Product Manufacturing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>74</catValu><labl level="category">74. Professional, Scientific, and Technical Services examples</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Motion Picture and Sound Recording Industries</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>93</catValu><labl level="category">93. Justice, Public Order, and Safety Activities</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Beverage and Tobacco Product Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Nonstore Retailers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Fabricated Metal Product Manufacturing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Administration of Economic Programs</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Clothing and Clothing Accessories Stores</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Couriers and Messengers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Crop Production</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>94</catValu><labl level="category">94. Administration of Human Resource Programs</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Paper Manufacturing</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Merchant Wholesalers, Durable Goods</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>86</catValu><labl level="category">86. Accommodation</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fishing, Hunting and Trapping</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Educational Services</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Electrical Equipment, Appliance, and Component Manufacturing</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Broadcasting (except Internet)</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:alj3XEIHjPkuGtPh0oCkHQ==</notes></var><var ID="v35513374" name="V161284" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Past self-empl status (R ret dis unemp hmkr stud)</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.1847877456098312</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.29297423887587815</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Self-employed</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161281/2,-8,-9 in V161279/1,-8,-9 in V161278/1,2,-9 in V161277 </labl><catStat type="freq">2900</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Both self and someone else</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Someone else</labl><catStat type="freq">1123</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sO3ZF2pYkHSArFC8wJuSYg==</notes></var><var ID="v35513730" name="V161285" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Past occupation: govt work (R ret dis unemp hmkr stud)</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.23231850117096003</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2872275639220867</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">350</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161284/2,-8,-9 in V161281/2,-8,-9 in V161279/1,-8,-9 in V161278/1,2,-9 in V161277 </labl><catStat type="freq">3040</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">874</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yPP7YEYXhPuiuGzOjdoIIQ==</notes></var><var ID="v35514260" name="V161286" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status unempl ret disabled: job in last 6 mo</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.15761124121780126</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.3875367702323396</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1085</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-9 in V161281/1,2,7,8,-9 in V161277 </labl><catStat type="freq">2964</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">211</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tZ5LHpDh2kIN0tCJS+ZsVA==</notes></var><var ID="v35513930" name="V161287" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Recent occupation: how many hours worked avg week</labl><sumStat type="mode">.</sumStat><sumStat type="mean">1.123419203747077</sumStat><sumStat type="stdev">9.188558047265774</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">126.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161286/2,-9 in V161281/2,-8,-9 in V161279/1 in V161278/1,2,-9 in V161277 </labl><catStat type="freq">3995</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I19C0VT17P77kjd2DNbbZA==</notes></var><var ID="v35513106" name="V161288" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Initial status retired disabled: working now</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.3049180327868841</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3936069204079236</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2 in V161281 and 6 in V161277/-8,-9 in V161281 and 6 in V161277 (FTF ONLY)/1,-8,-9 in V161278/1,2,4,7,8,-9 </labl><catStat type="freq">3174</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">966</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tgbeaqqEp/HaCOtcgQdHNw==</notes></var><var ID="v35512583" name="V161289" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Init status nonworkg ret dis unemp hmkr st: look for work</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.044730679156908565</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.3903640916672249</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1 in V161288/-8,-9 in V161288 (FTF ONLY)/2,-8,-9 in V161281/1,-8,-9 in V161278/1,2,-9 in V161277 </labl><catStat type="freq">2804</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1197</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">264</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DLis8y8vkWf6B2ET6ZjfbQ==</notes></var><var ID="v35513463" name="V161290" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Init status nonworkg ret dis unemp hmkr st: worry find job</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.069065622006985</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.7412177985948489</sumStat><catgry><catValu>4</catValu><labl level="category">4. Very</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A little</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161289/1,-8,-9 in V161288/2,-8,-9 in V161281/1,-8,-9 in V161278/1,2,-9 in V161277 </labl><catStat type="freq">4006</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NsCGMl2suSxAkRn2ageTtw==</notes></var><var ID="v35514281" name="V161291a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now - occupation</labl><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512974" name="V161291b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- Working TLO now - occupation</labl><sumStat type="stdev">29.336796564257227</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">24.566276346604244</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">10.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>95</catValu><labl level="category">95. Military Officer Special and Tactical Operations Leaders</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Supervisors of Building and Grounds Cleaning and Maintenance Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Architects, Surveyors, and Cartographers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Business Operations Specialists</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Grounds Maintenance Workers</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>86</catValu><labl level="category">86. Plant and System Operators</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Communications Equipment Operators</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Information and Record Clerks</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Advertising, Marketing, Promotions, Public Relations, and Sales Managers</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Life, Physical, and Social Science Technicians</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Supervisor of Personal Care and Service Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Drafters, Engineering Technicians, and Mapping Technicians</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Occupational Therapy and Physical Therapist Assistants and Aides</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. Printing Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Tour and Travel Guides</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Sales Representatives, Services</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1539</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Personal Appearance Workers</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Retail Sales Workers</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Agricultural Workers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Engineers</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>73</catValu><labl level="category">73. Other Construction and Related Workers</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Top Executives</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Life Scientists</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Entertainers and Performers, Sports and Related Works</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Supervisors of Farming, Fishing, and Forestry Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Food Processing Workers</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Secretaries and Administrative Assistants</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Electrical and Electronic Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. Woodworkers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Cooks and Food Preparation Workers</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. First-Line Enlisted Military Supervisors</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Other Installation, Maintenance, and Repair Occupations</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Baggage Porters, Bellhops, and Concierges</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Other Healthcare Practitioners and Technical Occupations</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Teachers and Instructors</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Supervisors of Transportation and Material Moving Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Sales Representatives, Wholesale and Manufacturing</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Art and Design Workers</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Media and Communication Workers</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Vehicle and Mobile Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Building Cleaning and Pest Control Workers</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>92</catValu><labl level="category">92. Water Transportation Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>93</catValu><labl level="category">93. Other Transportation Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Supervisors of Construction and Extraction Workers</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Social Scientists and Related Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Religious Workers</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Supervisors of Sales Workers</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Supervisors of Protective Service Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Librarians, Curators, and Archivists</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Lawyers, Judges, and related Workers</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Other Office and Administrative Support Workers</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Funeral Service Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Postsecondary Teachers</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Animal Care and Service Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Operations Specialties Managers</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Food and Beverage Serving Workers</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>94</catValu><labl level="category">94. Material Moving Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Motor Vehicle Operators</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Fire Fighting and Prevention Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Matertial Recordingm Scheduling, Dispatching, and Distributing Workers</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Other Protective Service Workers</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nursing, Psychiatric, and Home Health Aides</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Other Sales and Related Workers</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Supervisors of Production Workers</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Computer Occupations</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Entertainment Attendants and Related Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>89</catValu><labl level="category">89. Air Transportation Workers</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Law Enforcement Workers</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Financial Clerks</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>74</catValu><labl level="category">74. Extraction Workers</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't Know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Preschool, Primary, Secondary, and Special Education School Teachers</labl><catStat type="freq">106</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. Forest, Conservation, and Logging Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Military</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Legal Support Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Other Education, Training, and Library Occupations</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Assemblers and Fabricators</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Supervisors of Installation, Maintenance, and Repair Workers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Supervisors of Food Preparation and Service Workers</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other management Occupations</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Media and Communication Equipment Workers</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Other Healthcare Support Occupations</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>98</catValu><labl level="category">98. Don't Know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Other Food Preparation and Serving Related Works</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Health Diagnosing and Treating Practitioners</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Financial Specialists</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Other Personal Care and Service Workers</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. Textile, Apparel, and Furnishing Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>91</catValu><labl level="category">91. Rail Transportation Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Fishing and Hunting Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Supervisors of Office and Administrative Support Workers</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Physical Scientists</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. Metal Workers and Plastic Workers</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Counselors, Social Workers, and Other Community and Social Services Specialists</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Health Technologists and Technicians</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mathematical Science Occupations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>72</catValu><labl level="category">72. Helpers, Construction Trades</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Military Enlisted Tactical Operations and Air/Weapons Specialists and Crew Members</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>87</catValu><labl level="category">87. Other Production Occupations</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Construction Trades Workers</labl><catStat type="freq">92</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2qXfIsX2fzU6y4pDsNF4RA==</notes></var><var ID="v35512853" name="V161292a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Text- working or TLO industry of occupation</labl><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513346" name="V161292b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Code- working or TLO industry of occupation</labl><sumStat type="medn">39.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">39.760655737704916</sumStat><sumStat type="max">99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">37.43815823779233</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>66</catValu><labl level="category">66. Monetary Authorities - Central Bank</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Wholesale Electronic Markets and Agents and Brokers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Hospitals</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Waste Management and Remediation Services</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Fabricated Metal Product Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Nursing and Residential Care Facilities</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>89</catValu><labl level="category">89. Personal and Laundry Services</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Motor Vehicle and Parts Dealers</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>101</catValu><labl level="category">101. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Mining (except Oil and Gas)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Funds, Trusts, and Other Financial Vehicles</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Repair and Maintenance</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Ambulatory Health Care Services</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>100</catValu><labl level="category">100. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Specialty Trade Contractors</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Apparel Manufacturing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Postal Service</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Leather and Allied Product Manufacturing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Utilities</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Miscellaneous Store Retailers</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Paper Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Nonmetallic Mineral Product Manufacturing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Administration of Environmental Quality Programs</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Machinery Manufacturing</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Primary Metal Manufacturing</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Construction of Buildings</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1564</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Merchant Wholesalers, Nondurable Goods</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Plastics and Rubber Products Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Nonstore Retailers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Heavy and Civil Engineering Construction</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. Administration of Housing Programs, Urban Planning, and Community Development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>74</catValu><labl level="category">74. Professional, Scientific, and Technical Services examples</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>93</catValu><labl level="category">93. Justice, Public Order, and Safety Activities</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oil and Gas Extraction</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Merchant Wholesalers, Durable Goods</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Broadcasting (except Internet)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Air Transportation</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Management of Companies and Enterprises</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Forestry and Logging</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Real Estate</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. Performing Arts, Spectator Sports, and Related Industries</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Electrical Equipment, Appliance, and Component Manufacturing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>72</catValu><labl level="category">72. Rental and Leasing Services</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Clothing and Clothing Accessories Stores</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Other Information Services</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Transit and Ground Passenger Transportation</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Rail Transportation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. National Security and International Affairs</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>86</catValu><labl level="category">86. Accommodation</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Credit Intermediation and Related Activities</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Animal Production</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Pipeline Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Health and Personal Care Stores</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Support Activities for Mining</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Water Transportation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Food Manufacturing</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>91</catValu><labl level="category">91. Private Households examples</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. Social Assistance</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Sporting Goods, Hobby, Book,and Music Stores</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Wood Product Manufacturing</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Administrative and Support Services</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Telecommunications</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Couriers and Messengers</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Scenic and Sightseeing Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Support Activities for Transportation</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Electronics and Appliance Stores</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Transportation Equipment Manufacturing</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Furniture and Home Furnishings Stores</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Furniture and Related Product Manufacturing</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>92</catValu><labl level="category">92. Executive, Legislative, and Other General Government Support</labl><catStat type="freq">102</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Crop Production</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Miscellaneous Manufacturing</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Warehousing and Storage</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Publishing Industries (except Internet)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>87</catValu><labl level="category">87. Food Services and Drinking Places</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Textile Product Mills</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Textile Mills</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Printing and Related Support Activities</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Educational Services</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Food and Beverage Stores</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. Insurance Carriers and Related Activities</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>98</catValu><labl level="category">98. Space Research and Technology</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. Museums, Historical Sites, and Similar Institutions</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Gasoline Stations</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Religious, Grantmaking, Civic, Professional, and Similar Organizations</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fishing, Hunting and Trapping</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Motion Picture and Sound Recording Industries</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Beverage and Tobacco Product Manufacturing</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Internet Service Providers, Web Search Portals, and Data Processing Services</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. General Merchandise Stores</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Truck Transportation</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Computer and Electronic Product Manufacturing</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. Amusement, Gambling, and Recreation Industries</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Securities, Commodity Contracts, and Other Financial Investments and Related Activities</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>94</catValu><labl level="category">94. Administration of Human Resource Programs</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Support Activities for Agriculture and Forestry</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>73</catValu><labl level="category">73. Lessors of Nonfinancial Intangible Assets (except Copyrighted Works)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Building Material and Garden Equipment and Supplies Dealers</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Petroleum and Coal Products Manufacturing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Chemical Manufacturing</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Administration of Economic Programs</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uNjhMoLWVCCywAJ01JgecQ==</notes></var><var ID="v35513581" name="V161293" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now - work for self</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.2505068278314053</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.4702576112412185</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Self-employed</labl><catStat type="freq">309</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Someone else</labl><catStat type="freq">2258</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/4,-9 in V161277 </labl><catStat type="freq">1513</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Both self and someone else</labl><catStat type="freq">186</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kpyDavMrWM/ppU9zMQGjNA==</notes></var><var ID="v35514198" name="V161294" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now - work for govt</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.4973489209955517</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.5576112412177981</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1893</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-8,-9 in V161293/2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/4,-9 in V161277 </labl><catStat type="freq">1826</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">537</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W4ZUBB0COK/fXKpD7o6pbg==</notes></var><var ID="v35513347" name="V161295" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now - how many hours R works</labl><sumStat type="medn">35.0</sumStat><sumStat type="stdev">23.145043316873625</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">168.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">25.758782201405133</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/4,-9 in V161277 </labl><catStat type="freq">1513</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Lj7S/9BLTEMQGIQCBpGK6A==</notes></var><var ID="v35512591" name="V161296" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now - hours works OK</labl><sumStat type="max">3.0</sumStat><sumStat type="mean">1.1688524590163945</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.7644930681500295</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fewer</labl><catStat type="freq">269</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V161295/2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/4,-9 in V161277 </labl><catStat type="freq">1530</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About right</labl><catStat type="freq">1756</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+gFO3B7anhln3ENJVXrKdw==</notes></var><var ID="v35512563" name="V161297" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working TLO now: worry about losing job in near future</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.8187353629976587</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.6308185858656299</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/4,-9 in V161277 </labl><catStat type="freq">1513</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all</labl><catStat type="freq">1503</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A little</labl><catStat type="freq">638</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Very</labl><catStat type="freq">120</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1jZGhtfPuLDuYJWNJchlSA==</notes></var><var ID="v35512939" name="V161298" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working now: out of work or laid off in last 6 mos</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.4426321259177382</sumStat><sumStat type="mean">0.8355971896955505</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/2,4,-9 in V161277 </labl><catStat type="freq">1562</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2452</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ekXQiUYNcy8UWioRKwlaqw==</notes></var><var ID="v35513066" name="V161299" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working now: had reduction in work hrs or pay cut</labl><sumStat type="mean">0.8117096018735351</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4476590354921213</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-4,-8,-9 in V161288/2,-8,-9 in V161281/2,-8,-9 in V161278/2,4,-9 in V161277 </labl><catStat type="freq">1562</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2369</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7E+taSmyot9OQQm+07lBjw==</notes></var><var ID="v35512564" name="V161300a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Working now - spouse/partner employment status</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.0032349999230836</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.051522248243560394</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">922</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1612</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9KsyedhOoJaLcHSUCaazhw==</notes></var><var ID="v35513539" name="V161300b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Temporarily laid off - spouse/partner employment status</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.6753476116504229</sumStat><sumStat type="mean">-0.4243559718969554</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2514</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RTcMvdmgFJc3JYAQsMNoOA==</notes></var><var ID="v35513417" name="V161300c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Unemployed - spouse/partner employment status</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.704197444901856</sumStat><sumStat type="mean">-0.4025761124121787</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2421</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IY7l/+Kpfkwtguz08VITeA==</notes></var><var ID="v35512603" name="V161300d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Retired - spouse/partner employment status</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8114979811303781</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.30749414519906304</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2015</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">519</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BulIyw/nF8sKVc3QZiYeoA==</notes></var><var ID="v35512688" name="V161300e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Permanently disabled - spouse/partner employment status</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.6975419421353704</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.4077283372365336</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2443</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WVsQR5MKFYC4+3bYvZkWYg==</notes></var><var ID="v35513014" name="V161300f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Homemaker - spouse/partner employment status</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.7432275233201404</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.37072599531615946</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2285</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fstKN1tzqjwR7Jm+tFH2ww==</notes></var><var ID="v35513864" name="V161300g" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Student - spouse/partner employment status</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.415456674473068</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6873654572641621</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2476</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -9 in V161268/2,-9 in V161269 </labl><catStat type="freq">1724</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused entire question</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o1P595SMmjdlxEVFjiRvwg==</notes></var><var ID="v35513220" name="V161301a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Spouse partner placeholder redacted</labl><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514345" name="V161301b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Spouse partner placeholder code</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">13.140046838407516</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">25.248904997213955</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>91</catValu><labl level="category">91. Rail Transportation Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>71</catValu><labl level="category">71. Construction Trades Workers</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Information and Record Clerks</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Entertainers and Performers, Sports and Related Works</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Preschool, Primary, Secondary, and Special Education School Teachers</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Assemblers and Fabricators</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Financial Clerks</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Supervisor of Personal Care and Service Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Operations Specialties Managers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>72</catValu><labl level="category">72. Helpers, Construction Trades</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Grounds Maintenance Workers</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Communications Equipment Operators</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Supervisors of Production Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Financial Specialists</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>70</catValu><labl level="category">70. Supervisors of Construction and Extraction Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Vehicle and Mobile Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Personal Appearance Workers</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Supervisors of Installation, Maintenance, and Repair Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Other Healthcare Support Occupations</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>73</catValu><labl level="category">73. Other Construction and Related Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Food Processing Workers</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Other Office and Administrative Support Workers</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Supervisors of Sales Workers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Military</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Health Diagnosing and Treating Practitioners</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Matertial Recordingm Scheduling, Dispatching, and Distributing Workers</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. Printing Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. Textile, Apparel, and Furnishing Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Computer Occupations</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Media and Communication Equipment Workers</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Health Technologists and Technicians</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. Forest, Conservation, and Logging Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Media and Communication Workers</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>90</catValu><labl level="category">90. Motor Vehicle Operators</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Supervisors of Protective Service Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Fire Fighting and Prevention Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Supervisors of Food Preparation and Service Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Electrical and Electronic Equipment Mechanics, Installers, and Repairers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Fishing and Hunting Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. Metal Workers and Plastic Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other management Occupations</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>94</catValu><labl level="category">94. Material Moving Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Drafters, Engineering Technicians, and Mapping Technicians</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Librarians, Curators, and Archivists</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Lawyers, Judges, and related Workers</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Counselors, Social Workers, and Other Community and Social Services Specialists</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Baggage Porters, Bellhops, and Concierges</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't Know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Other Healthcare Practitioners and Technical Occupations</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Other Teachers and Instructors</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Other Food Preparation and Serving Related Works</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Supervisors of Building and Grounds Cleaning and Maintenance Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Top Executives</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mathematical Science Occupations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Architects, Surveyors, and Cartographers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Supervisors of Office and Administrative Support Workers</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Business Operations Specialists</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Animal Care and Service Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Occupational Therapy and Physical Therapist Assistants and Aides</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Tour and Travel Guides</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Military Officer Special and Tactical Operations Leaders</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Religious Workers</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Other Personal Care and Service Workers</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Life Scientists</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Sales Representatives, Wholesale and Manufacturing</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Secretaries and Administrative Assistants</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2681</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. First-Line Enlisted Military Supervisors</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Law Enforcement Workers</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Other Protective Service Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. Woodworkers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Legal Support Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Military Enlisted Tactical Operations and Air/Weapons Specialists and Crew Members</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Art and Design Workers</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>86</catValu><labl level="category">86. Plant and System Operators</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>89</catValu><labl level="category">89. Air Transportation Workers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>87</catValu><labl level="category">87. Other Production Occupations</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Supervisors of Farming, Fishing, and Forestry Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Cooks and Food Preparation Workers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>92</catValu><labl level="category">92. Water Transportation Workers</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Sales Representatives, Services</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Funeral Service Workers</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Building Cleaning and Pest Control Workers</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>74</catValu><labl level="category">74. Extraction Workers</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Food and Beverage Serving Workers</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Engineers</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Other Education, Training, and Library Occupations</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Other Sales and Related Workers</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Agricultural Workers</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Supervisors of Transportation and Material Moving Workers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Advertising, Marketing, Promotions, Public Relations, and Sales Managers</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Physical Scientists</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nursing, Psychiatric, and Home Health Aides</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Retail Sales Workers</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Postsecondary Teachers</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>98</catValu><labl level="category">98. Don't Know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Life, Physical, and Social Science Technicians</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Other Installation, Maintenance, and Repair Occupations</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Social Scientists and Related Workers</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Entertainment Attendants and Related Workers</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>93</catValu><labl level="category">93. Other Transportation Workers</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XTXS9A1smLZM0lzd4b2i0A==</notes></var><var ID="v35514288" name="V161302" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Anyone in HH belong to labor union</labl><sumStat type="stdev">0.9056644961118748</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.7967213114754101</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">579</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3664</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mnDWNBtUylPg7kDjEl2TKQ==</notes></var><var ID="v35514237" name="V161303" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Who in HH belongs to labor union</labl><sumStat type="stdev">1.33965147817236</sumStat><sumStat type="mean">-0.5377049180327865</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Respondent and spouse/partner</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161302 </labl><catStat type="freq">3691</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Respondent and someone else</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Spouse/partner only</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Respondent, spouse/partner, and someone else</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">4. Spouse/partner and someone else</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF ONLYL)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Respondent only</labl><catStat type="freq">322</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Someone else only</labl><catStat type="freq">63</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x3oyVNUExcoAXUpiuhEdNw==</notes></var><var ID="v35512908" name="V161304" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Think of self as belonging to class</labl><sumStat type="mean">-0.1538641686182643</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.2257401033420872</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, selected for 2-question version of social class</labl><catStat type="freq">2661</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">493</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1106</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zYYHx/Lpmo6vVGa7LHkhZw==</notes></var><var ID="v35513023" name="V161305a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Social Class: working or middle</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.098923685707557</sumStat><sumStat type="mean">-0.37939110070257837</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161304/selected for 2-question version of social class</labl><catStat type="freq">3164</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both [volunteered]</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: lower middle class (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Lower class or poor [volunteered]</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Upper class [volunteered]</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Middle class</labl><catStat type="freq">666</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">423</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:j6yk6sjo5WYINRuPYhyOYg==</notes></var><var ID="v35514059" name="V161305b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Social Class: had to choose working middle</labl><sumStat type="mean">-0.7245901639344275</sumStat><sumStat type="stdev">0.9607082907702986</sumStat><sumStat type="max">7.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither [volunteered]</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Upper class [volunteered]</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Lower class or poor [volunteered]</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Middle class</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-9 in V161304/selected for 2-question version of social class</labl><catStat type="freq">3775</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: lower middle class (FTF only)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Nl69Ax3sQyLqaWntHHXxYA==</notes></var><var ID="v35513739" name="V161306" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Social class: average or upper working middle class</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.18641686182670453</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.194742541099978</sumStat><catgry><catValu>4</catValu><labl level="category">4. Upper class [volunteered]</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,3,4,5,7,-8,-9 in V161305b/0,3,4,5,7,-8,-9 in V161305a/selected for 2-question version of social class</labl><catStat type="freq">2718</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Lower middle/working [volunteered]</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Lower class or poor [volunteered]</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Average middle/working class</labl><catStat type="freq">1141</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other SPECIFY</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Upper middle/working class</labl><catStat type="freq">362</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oz20cUbXo10rOfU6GMM2qw==</notes></var><var ID="v35513189" name="V161307" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Social class (2-question version)</labl><sumStat type="mean">1.117330210772844</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.9489993927729676</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Lower class</labl><catStat type="freq">277</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Upper class</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Middle class</labl><catStat type="freq">1368</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">872</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, selected for 4-question version of  social class</labl><catStat type="freq">1609</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bfGn+a7bOEBYatyDmWPuBw==</notes></var><var ID="v35514280" name="V161307a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: EGSS social class if middle class</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4739158501832066</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.04566744730679076</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,4,-8,-9 in V161307/selected for 4-question version of social class</labl><catStat type="freq">2902</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Upper middle class</labl><catStat type="freq">318</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle class</labl><catStat type="freq">739</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Lower middle class</labl><catStat type="freq">307</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8BTK4UsdFO9jiBzDfXn3Ww==</notes></var><var ID="v35514239" name="V161308x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - R self-identified social class</labl><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Coded summary will be available in future release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514113" name="V161309" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R: Are you Spanish, Hispanic, or Latino</labl><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.8587822014051525</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.6909117328519563</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3806</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">450</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VX6oyYipIkjuQBxm80v4hw==</notes></var><var ID="v35512697" name="V161310a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race - White mentioned</labl><sumStat type="stdev">1.2080597725801763</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6740046838407494</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">798</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">3412</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v6U4GK0MxJQCETDjGn1qJw==</notes></var><var ID="v35513427" name="V161310b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race -Black/African-American mentioned</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1062069299323172</sumStat><sumStat type="mean">-0.01569086651053825</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">467</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3743</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Y/QO2AAQvBD6GnyX+ILjNQ==</notes></var><var ID="v35513077" name="V161310c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race - American Indian/Alaska Native mentioned</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.09274004683840849</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.066897405075411</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4072</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">138</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BfGkuWv9pg8DCWTlgRaLtA==</notes></var><var ID="v35512876" name="V161310d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race - Asian mentioned</labl><sumStat type="stdev">1.0701299743699948</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.08688524590163839</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4047</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:X3iKp0AsoHfuCKu/Udrxlg==</notes></var><var ID="v35513316" name="V161310e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race - Native Hawaiian/Other Pacific Islander mentioned</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.0525818859174962</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.11779859484777426</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3IeyYPj8BQmgkYlYVsp3rQ==</notes></var><var ID="v35513814" name="V161310f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R self-identified race - other mention</labl><sumStat type="stdev">1.0782163023375622</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.0718969555035134</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3983</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">227</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know race (FTF only)</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:T3UD2DPfTcAi90q/CtCHUQ==</notes></var><var ID="v35512705" name="V161310g" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: R race other mention type</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.46510538641686283</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">4.904386836006625</sumStat><sumStat type="max">88.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>77</catValu><labl level="category">77. Other specify given as 'American'</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>88</catValu><labl level="category">88. Other specify given as 'Human'</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Other specify - not given as CPS race or as hispanic</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Other specify given as White and American Indian or Alaska Native</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Other specify given as: Black</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Other specify given as RF</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other specify given as: American Indian or Alaska Native</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Other specify given as: white</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Other specify given as White and Hispanic</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Other specify given as: Asian</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: Hispanic</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. 0,-8,-9 in V161310f</labl><catStat type="freq">4043</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other specify given as White and Black</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Other specify given as Black and Hispanic</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2jmq/UNfhY2BIM28MtpLaA==</notes></var><var ID="v35513314" name="V161310x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - R self-identified race</labl><sumStat type="stdev">1.5690603047094733</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">1.7868852459016422</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Native American or Alaska Native, non-Hispanic</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Other non-Hispanic incl multiple races [WEB: blank 'Other' counted as a race]</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Hispanic</labl><catStat type="freq">450</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. White, non-Hispanic</labl><catStat type="freq">3038</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Black, non-Hispanic</labl><catStat type="freq">397</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Missing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian, native Hawaiian or other Pacif Islr,non-Hispanic</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">33</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0DFyUmsIHbGCtiQjr+vy5w==</notes></var><var ID="v35513460" name="V161311" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED Text- R self-identified ethnic group(s) other than American</labl><sumStat type="mean">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513717" name="V161312a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED Codes - R self-identified ethnic group(s) other than American</labl><sumStat type="mean">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513906" name="V161313" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: FTF ONLY: IWR CHECKPOINT: number of ethnic mentions</labl><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.4655737704918054</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.9405419688611335</sumStat><catgry><catValu>1</catValu><labl level="category">1. One</labl><catStat type="freq">634</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. More than one (two or more)</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. None (incl DK) in addition to American and R did not refuse/indicate no knowledge of ethnicity</labl><catStat type="freq">319</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Respondent refused to answer or R said no knowledge of own ethnicity (e.g. adopted)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TZDSFR7CpwFYIvzGTvnpTw==</notes></var><var ID="v35513487" name="V161314" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED - R ethnic group identifies with most</labl><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513392" name="V161314a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED Code - ethic group most identify with</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513260" name="V161315" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Native status of parents</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">1.2381733021077297</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.119136315724424</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both parents born in another country</labl><catStat type="freq">546</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. One parent born in the U.S.</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Both parents born in the U.S.</labl><catStat type="freq">3449</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">30</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JCQs9SU0CWv+as5XG7HEHQ==</notes></var><var ID="v35514182" name="V161316" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Rs: born U.S., Puerto Rico, or some other country</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.2753880259266634</sumStat><sumStat type="mean">1.2641686182669791</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. A U.S. state or D.C.</labl><catStat type="freq">3768</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Another U.S. territory (Guam, Amer. Samoa, U.S. Virgin Islands)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Another country (SPECIFY)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify as: U.S. location</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Puerto Rico</labl><catStat type="freq">27</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZnL/0hndm6qFqP/l/7Q1sQ==</notes></var><var ID="v35512586" name="V161317" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How many grandparents born outside the U.S.</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.0388758782201364</sumStat><sumStat type="stdev">1.8963259594137087</sumStat><catgry><catValu>2</catValu><labl level="category">2. Two</labl><catStat type="freq">460</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All</labl><catStat type="freq">846</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. None</labl><catStat type="freq">2531</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W0EAxorrnrVPXopLKQ6M5A==</notes></var><var ID="v35514240" name="V161318" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED - Hispanic country/countries of origin</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35514339" name="V161319" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: LATINO Rs: RESTRICTED- most family from which country</labl><sumStat type="medn">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512799" name="V161319x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Hispanic summary</labl><sumStat type="mean">6.421077283372362</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.8045064125540413</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused if Hispanic</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mexican (country Mexico)</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know if Hispanic</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Puerto Rican (country Puerto Rico)</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Not Hispanic</labl><catStat type="freq">3806</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Hispanic, type not determined</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other Hispanic or more than one mention</labl><catStat type="freq">129</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OWRvBCz9+DqBpz1/bC7nXw==</notes></var><var ID="v35513675" name="V161320" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Latino Rs: Mexican heritage:</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9646370023419195</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.4162488476277939</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161309 </labl><catStat type="freq">4175</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: missing due to programming error (not asked)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qKB1SvuRvQ4X9I6SEGE3Ng==</notes></var><var ID="v35513277" name="V161321" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- NON-US BORN Rs: When did R arrive in U.S.</labl><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access for protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513205" name="V161321a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: NON-US BORN Rs: Time period when R arrived in U.S.</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.255501890811158</sumStat><sumStat type="mean">-0.6786885245901657</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Arrived 1990-1999 </labl><catStat type="freq">104</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arrived 2000-2012 </labl><catStat type="freq">91</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Arrived before 1970 </labl><catStat type="freq">95</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-8,-9 in V161316 </labl><catStat type="freq">3796</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Arrived 1970-1989 </labl><catStat type="freq">162</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ruLpaWxWoUOYNa4+svW9bg==</notes></var><var ID="v35513036" name="V161322" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- NON-US BORN Rs: In what year did R become a U.S. citizen</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="min">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access for protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513325" name="V161322a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: NON-US BORN Rs: Time period when R became U.S. citizen</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.3681316332492237</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.6611241217798582</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Became citizen before 1970 </labl><catStat type="freq">54</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Became citizen 1990-1999 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Became citizen 2000-2012 </labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,3,-8,-9 in V161316 </labl><catStat type="freq">3838</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. FTF: Born outside the U.S. But born a U.S. Citizen (VOL)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Became citizen 1970-1989 </labl><catStat type="freq">99</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K/z+NlIzKgT3TXPi9nMVXA==</notes></var><var ID="v35512752" name="V161323" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: LATINO Rs: language at home</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.1437831504065854</sumStat><sumStat type="mean">-0.6339578454332532</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Only Spanish</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mostly English</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Mostly Spanish</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161309 </labl><catStat type="freq">3820</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both languages equally</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Only English</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K5zZd30R5aliTdoxv2IX0Q==</notes></var><var ID="v35512955" name="V161324" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How many children in HH age 0-17</labl><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="stdev">1.2106157987282258</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.5903981264637024</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Five children</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Seven children</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Two children</labl><catStat type="freq">517</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. More than eight children</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three children</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No children</labl><catStat type="freq">2820</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Six children</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Eight children</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Four children</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One child</labl><catStat type="freq">632</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:thFhQpi7bt9lNh55kPBuHQ==</notes></var><var ID="v35513925" name="V161325a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: School enrollment of HH children- public school</labl><sumStat type="mean">-0.42341920374707187</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.8763381936032971</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1046</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">386</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-8,-9 in V161324 </labl><catStat type="freq">2836</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nGoBr1kIhHbl0BQyFERZkA==</notes></var><var ID="v35512579" name="V161325b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: School enrollment of HH children- private religious school</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.5640817818412038</sumStat><sumStat type="mean">-0.6412177985948474</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-8,-9 in V161324 </labl><catStat type="freq">2836</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1316</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">116</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JoppwfU/NA/76yMGOJ/eqQ==</notes></var><var ID="v35514045" name="V161325c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: School enrollment of HH children- private non-religious school</labl><sumStat type="mean">-0.6559718969555038</sumStat><sumStat type="stdev">0.5331860412300523</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1379</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-8,-9 in V161324 </labl><catStat type="freq">2836</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">53</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZynU5b8Yg+LYpS9YeBNkeg==</notes></var><var ID="v35513296" name="V161325d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: School enrollment of HH children- home schooling</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.6597189695550345</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.5249840570845049</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-8,-9 in V161324 </labl><catStat type="freq">2836</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1395</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3U35FyGEi2Vo1qhtvMboKQ==</notes></var><var ID="v35513618" name="V161325e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: School enrollment of HH children- not enrolled in school</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.6063231850117093</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.6297886169493999</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1167</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-8,-9 in V161324 </labl><catStat type="freq">2836</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jtgy72qVGmOYE9mAfEkj/Q==</notes></var><var ID="v35513756" name="V161326" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Internet use at home</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.7319770503512398</sumStat><sumStat type="mean">1.064402810304449</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">3789</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">462</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LuGV0Fbm4Onh3Q0LfhXBRQ==</notes></var><var ID="v35514312" name="V161327" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Cell or Landline service</labl><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">2.25807962529274</sumStat><sumStat type="stdev">1.120477035591005</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Only landline service</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Only cell service</labl><catStat type="freq">2304</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both landline and cell service</labl><catStat type="freq">1688</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hibA8iYZqRNc+wx8Cmhznw==</notes></var><var ID="v35512784" name="V161328" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R personally have a cell phone</labl><sumStat type="max">2.0</sumStat><sumStat type="mean">0.8927400468384078</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.5909592436879065</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP,1,-8,-9 in V161327 </labl><catStat type="freq">278</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have a cell phone</labl><catStat type="freq">3861</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, do not have a cell phone</labl><catStat type="freq">128</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RkmGH0+cC0SuvG4q/j4xKg==</notes></var><var ID="v35512818" name="V161329" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Is R's cell phone a smartphone</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.9311475409836059</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.7434822401553194</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP/2,-8,-9 in V161328/1,-8,-9 in V161327 </labl><catStat type="freq">409</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No smartphone</labl><catStat type="freq">544</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have a smartphone</labl><catStat type="freq">3315</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uFU2DOPjYO8XBh2ifAiKhg==</notes></var><var ID="v35513183" name="V161330" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Where R grew up</labl><sumStat type="max">77.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">16.32646679672966</sumStat><sumStat type="mean">29.175175644028112</sumStat><sumStat type="medn">28.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Another country specified as : USA</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">393</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Another U.S. territory (Guam, Samoa, U.S. Virgin Islands)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Puerto Rico</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">266</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Another country (SPECIFY)</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">273</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jAmVtuxiiqg50IZBZJc+Wg==</notes></var><var ID="v35514020" name="V161331a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How long lived in this community YRS</labl><sumStat type="max">40.0</sumStat><sumStat type="mean">16.992271662763468</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">15.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">14.017396621693546</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>40</catValu><labl level="category">40. 40 years or more</labl><catStat type="freq">630</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+zHY9ixIzggWVIKvNTWgag==</notes></var><var ID="v35513058" name="V161331b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How long lived in this community MONTHS</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">24.0</sumStat><sumStat type="mean">2.134192037470738</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.4517084068425583</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eOJZ5AFUo+Kr83paGoHNrw==</notes></var><var ID="v35513398" name="V161331x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: SUMMARY - Length in current community</labl><sumStat type="medn">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">40.0</sumStat><sumStat type="mean">17.139110070257605</sumStat><sumStat type="stdev">13.928736140455618</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1 year or less (0 month 0 years - 1 year 6 months)</labl><catStat type="freq">462</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. 40 years or more</labl><catStat type="freq">635</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ozhLMrbydaIQEnz/S+6HYg==</notes></var><var ID="v35513290" name="V161332" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- (&lt;24 tot mos in community) Zip Code of previous residence</labl><sumStat type="min">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35514277" name="V161333" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- City/state of previous residence</labl><sumStat type="max">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513239" name="V161334" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Home ownership</labl><sumStat type="stdev">1.3439417398857678</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.9583138173302113</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Own home with no payments due</labl><catStat type="freq">886</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Pay rent</labl><catStat type="freq">1286</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some other arrangement</labl><catStat type="freq">308</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Pay mortgage</labl><catStat type="freq">1754</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Oj6kpjczyEwOry1Uzyphcg==</notes></var><var ID="v35513752" name="V161335" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Has R ever changed name</labl><sumStat type="mean">1.6030444964871193</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.0314974459103556</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Have changed name</labl><catStat type="freq">1343</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Never changed name</labl><catStat type="freq">2895</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:06B8S+kcHXKyuca6a7cc/w==</notes></var><var ID="v35514298" name="V161335a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- Year of most recent change</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access for protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512690" name="V161336" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Has R ever used an alternate name</labl><sumStat type="medn">2.0</sumStat><sumStat type="stdev">1.1021282986407333</sumStat><sumStat type="mean">1.700702576112413</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3382</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">849</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UzKJf0rVYIDtErrR40EyUQ==</notes></var><var ID="v35514011" name="V161337" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Years R lived at address</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">4.2875878220140535</sumStat><sumStat type="stdev">3.1770155077985516</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0aCucS15Ijiltd9XIY5qFw==</notes></var><var ID="v35512663" name="V161338" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED- (&lt;5 years at address) Where did R live five years ago</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513640" name="V161339" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R have unexpired govt Drivers license</labl><sumStat type="max">2.0</sumStat><sumStat type="mean">1.0154566744730669</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.916389876158867</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Do not have one</labl><catStat type="freq">386</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have a non-expired driver's license</labl><catStat type="freq">3852</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IKJZYH//A2JbW+4/n3rQvQ==</notes></var><var ID="v35514255" name="V161340" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R have unexpired govt Passport</labl><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.4121779859484795</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1041528907573523</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Have a non-expired U.S. passport</labl><catStat type="freq">2087</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Do not have one</labl><catStat type="freq">2144</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">33</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zTZjJI3hm4/VnAk+xtZgsw==</notes></var><var ID="v35514305" name="V161341" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: Does R have other govt ID</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.9211742884315123</sumStat><sumStat type="mean">-0.8819672131147539</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V161340 </labl><catStat type="freq">3932</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Do not have</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have another form of ID</labl><catStat type="freq">191</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gjCBH+eGHn+q9CNZyKCYig==</notes></var><var ID="v35513939" name="V161342" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: R self-identified gender</labl><sumStat type="stdev">1.143235766715968</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.4316159250585456</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">2231</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">1987</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SjkV3AJU8rgNeegK7RCSbw==</notes></var><var ID="v35512589" name="V161342a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: RESTRICTED - Other gender follow-up</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access for protection of respondent anonymity</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35514392" name="V161343" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Roughing up protestors</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">2.016926904696912</sumStat><sumStat type="mean">2.17564402810304</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. A little</labl><catStat type="freq">828</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A lot</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all</labl><catStat type="freq">1459</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A great deal</labl><catStat type="freq">377</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1076</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WC+OQrrcKZTXUTahb6dVzQ==</notes></var><var ID="v35513383" name="V161344" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Justified to use violence</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.1501170960187361</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.3688273096582912</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A great deal</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all</labl><catStat type="freq">3571</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A little</labl><catStat type="freq">278</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A lot</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">251</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:H+VEPC51R5k+WOVtzt29Yw==</notes></var><var ID="v35513256" name="V161345" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Consider yourself a feminist</labl><sumStat type="max">3.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6568755826372639</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">2.3241217798594875</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strong feminist</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not a feminist</labl><catStat type="freq">2588</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminist</labl><catStat type="freq">1246</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c+n3huFSi21XbCAXgb4TaA==</notes></var><var ID="v35513991" name="V161346" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: How well does feminist describe you</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.0630021912582426</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">3.6653395784543337</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">1822</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat well</labl><catStat type="freq">905</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">385</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not very well</labl><catStat type="freq">882</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jyag5DmtVoqVId7SIODs9w==</notes></var><var ID="v35512636" name="V161347" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: How important is being a feminist</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.4053864168618238</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.373098040686117</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">550</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat important</labl><catStat type="freq">664</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 5,-9 in V161346 </labl><catStat type="freq">1895</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">412</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">200</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WSWyUWvBQVa85NCsnwX2Tg==</notes></var><var ID="v35513107" name="V161348" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: How well does anti-feminist describe you</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.083642335835225</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.1426229508196695</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">2785</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not very well</labl><catStat type="freq">718</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat well</labl><catStat type="freq">371</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ueuAi++8xuQwaTYLNFNgTQ==</notes></var><var ID="v35513965" name="V161349" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: How important is being anti-feminist</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.478169719204912</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6126463700234228</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">727</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat important</labl><catStat type="freq">275</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 5,-9 in V161348 </labl><catStat type="freq">2864</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1EwGSza8jygEc+XKiSMJRA==</notes></var><var ID="v35513607" name="V161350" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Money invested in Stock Market</labl><sumStat type="mean">1.2852459016393452</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6590764499023285</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2218</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1950</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">97</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WMlxCipH6UPqSiPfz9qhcA==</notes></var><var ID="v35513563" name="V161351" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- Total income amount</labl><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.10139187243184784</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-3.0051522248243563</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">4259</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ef7wy//i0LAtzJDjjqwBKg==</notes></var><var ID="v35514109" name="V161352" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - ge or lt 40K</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.4154493110270816</sumStat><sumStat type="mean">-1.1576112412177981</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Less than $40,000 </labl><catStat type="freq">47</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $40,000 or more</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, not -9 in V161351 </labl><catStat type="freq">3997</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">120</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8DQJeB+19AvLGueabBo8zw==</notes></var><var ID="v35514279" name="V161353" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - ge or lt 20K</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.40458922903164884</sumStat><sumStat type="mean">-0.9932084309133491</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $20,000 </labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4212</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $20,000 or more</labl><catStat type="freq">24</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ScHudmdWVO73LNTCUxalSA==</notes></var><var ID="v35514341" name="V161354" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - categories lt 20K</labl><sumStat type="stdev">0.4312638689306505</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">-1.0018735362997662</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $15,000-17,499 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $10,000-12,499 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. $17,500-19,999 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Under $5,000 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-9 in V161353/1,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4240</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $5,000-9,999 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $12,500-14,999 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:et+ZWA3mcPOlDS8+tHkIIw==</notes></var><var ID="v35512726" name="V161355" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - categories 20-40K</labl><sumStat type="max">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.4859206689194937</sumStat><sumStat type="mean">-1.0014051522248246</sumStat><catgry><catValu>3</catValu><labl level="category">3. $25,000-27,499 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-9 in V161353/1,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4235</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $20,000-22,499 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. $35,000-39,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $22,500-24,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $27,500-29,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $30,000-34,999 </labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cimMO/l5urpJZjvW17PoSw==</notes></var><var ID="v35514324" name="V161356" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - ge or lt 70K</labl><sumStat type="stdev">0.7204088181844361</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0238875878220144</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $70,000 </labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4164</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $70,000 or more</labl><catStat type="freq">50</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YteTuA5u/2eym2cY+Bxc9Q==</notes></var><var ID="v35513218" name="V161357" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - categories 40-70K</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.3979263951722249</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">-1.002341920374707</sumStat><catgry><catValu>1</catValu><labl level="category">1. $40,000-44,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $55,000-59,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $60,000 y 64,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. $65,000-69,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-9 in V161356 /2,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4240</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $45,000-49,999 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $50,000-54,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ye77fcs/p0b2JUaC4qhWWA==</notes></var><var ID="v35513422" name="V161358" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - ge or lt 100K</labl><sumStat type="stdev">0.5303587290371217</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.016861826697893</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Less than $100,000 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-9 in V161356 /2,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4208</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $100,000 or more</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MmSPaXczGcRsXGZrTZhf0A==</notes></var><var ID="v35513776" name="V161359" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - categories 70-100K</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0142857142857153</sumStat><sumStat type="max">4.0</sumStat><sumStat type="stdev">0.3159419175283409</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $70,000-74,999 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $75,000-79,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,-9 in V161358/2,-9 in V161356 /2,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4252</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $80,000-89,999 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $90,000-99,999 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cOvZF3veTCF2Q00GFn3ViA==</notes></var><var ID="v35513074" name="V161360" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Income amt missing - categories 100+K</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">-1.0110070257611241</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.5636948245159303</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $150,000-174,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $110,000-124,999 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $125,000-149,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. $250,000 or more</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $100,000-109,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP,2,-9 in V161358/2,-9 in V161356 /2,-9 in V161352/not -9 in V161351 </labl><catStat type="freq">4227</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $175,000-249,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t029Fv0xG3RwTJlk+ad10w==</notes></var><var ID="v35513488" name="V161361x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Pre income summary</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">9.408033402135976</sumStat><sumStat type="max">28.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">14.247775175644014</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">15.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>8</catValu><labl level="category">08. $22,500-$24,999 </labl><catStat type="freq">64</catStat></catgry><catgry><catValu>4</catValu><labl level="category">04. $12,500-$14,999 </labl><catStat type="freq">37</catStat></catgry><catgry><catValu>6</catValu><labl level="category">06. $17,500-$19,999 </labl><catStat type="freq">52</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. $90,000-$99,999 </labl><catStat type="freq">176</catStat></catgry><catgry><catValu>2</catValu><labl level="category">02. $5,000-$9,999 </labl><catStat type="freq">96</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. $150,000-$174,999 </labl><catStat type="freq">154</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. $175,000-$249,999 </labl><catStat type="freq">154</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. $55,000-$59,999 </labl><catStat type="freq">85</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. $35,000-$39,999 </labl><catStat type="freq">166</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. $40,000-$44,999 </labl><catStat type="freq">178</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. $80,000-$89,999 </labl><catStat type="freq">231</catStat></catgry><catgry><catValu>7</catValu><labl level="category">07. $20,000-$22,499 </labl><catStat type="freq">153</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. $250,000 or more</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. $125,000-$149,999 </labl><catStat type="freq">166</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. $27,500-$29,999 </labl><catStat type="freq">34</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. $100,000-$109,999 </labl><catStat type="freq">191</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. $75,000-$79,999 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. $50,000-$54,999 </labl><catStat type="freq">204</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. $45,000-$49,999 </labl><catStat type="freq">154</catStat></catgry><catgry><catValu>5</catValu><labl level="category">05. $15,000-$17,499 </labl><catStat type="freq">110</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. Under $5,000 </labl><catStat type="freq">275</catStat></catgry><catgry><catValu>3</catValu><labl level="category">03. $10,000-$12,499 </labl><catStat type="freq">133</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. $70,000-$74,999 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. $65,000-$69,999 </labl><catStat type="freq">107</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. $30,000-$34,999 </labl><catStat type="freq">213</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. $110,000-$124,999 </labl><catStat type="freq">182</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. $60,000-$64,999 </labl><catStat type="freq">205</catStat></catgry><catgry><catValu>9</catValu><labl level="category">09. $25,000-$27,499 </labl><catStat type="freq">143</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WbvvpPaRTsfM+e0jnu7tRg==</notes></var><var ID="v35512985" name="V161362" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Need to be more sensitive talking or people too easily offende</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.436533957845434</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.9054913618772475</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. The way people talk needs to change a little</labl><catStat type="freq">994</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. People are much too easily offended</labl><catStat type="freq">1186</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The way people talk needs to change a lot</labl><catStat type="freq">801</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. People are a little too easily offended</labl><catStat type="freq">1201</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">73</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8wlExfktTKhpXDIr6WHkIQ==</notes></var><var ID="v35513170" name="V161363a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Television news programs (morning or evening)</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.716861826697891</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.170285450928319</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">3591</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">613</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:D0xwk033H4c9KwvuyRonLQ==</notes></var><var ID="v35512622" name="V161363b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Newspapers</labl><sumStat type="stdev">1.1822459463208608</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.36252927400468204</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2126</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">2078</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v1gUY7Wb7fFwUVc87vIlGQ==</notes></var><var ID="v35514302" name="V161363c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Television talk shows, public affairs, or news analys</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.49016393442623024</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1901728169025183</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">2623</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1581</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4Iz9rIzqOSHOEAYZo/+MRw==</notes></var><var ID="v35512858" name="V161363d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Internet sites, chat rooms, or blogs</labl><sumStat type="stdev">1.1901411966140543</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.48688524590164134</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">2609</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1595</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vm5DQ1XiZoPgCWy4ShJx5A==</notes></var><var ID="v35513855" name="V161363e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio news or talk shows</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.4121779859484779</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1869682355113522</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1914</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">2290</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M/EdRex/SOWCL+tFFQ1P5w==</notes></var><var ID="v35513760" name="V161363f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Have not heard anything about the presidential campai</labl><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.0201031063419772</sumStat><sumStat type="mean">-0.1131147540983597</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">4157</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">47</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AOUnZ2ywJ2wpqederFqfnQ==</notes></var><var ID="v35512823" name="V161364" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG 20/20</labl><sumStat type="stdev">1.236999478055197</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.054566744730676964</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">852</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2877</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Gx80RtlKa7+52OJTKZ29Gw==</notes></var><var ID="v35512717" name="V161365" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG All In with Chris Hayes</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.216627634660418</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.1506991609011994</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3569</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">160</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:D/tmstIDz3SZQa0DbufmoA==</notes></var><var ID="v35513935" name="V161366" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Blacklist</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1878821591431465</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.15316159250585631</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3298</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">431</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OBmuoo+S6pXlnDSjnI5Seg==</notes></var><var ID="v35512775" name="V161367" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG CBS Evening News with Scott Pelley</labl><sumStat type="mean">-0.11147540983606508</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2098736554297795</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3120</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">609</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:V8t9H/9KDO42VTCfv2j31A==</notes></var><var ID="v35512605" name="V161368" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Criminal Minds</labl><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.08032786885245502</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.2251223201065864</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2987</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">742</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qeJD0XZM1/We4K1uhyp4PQ==</notes></var><var ID="v35514015" name="V161369" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Empire</labl><sumStat type="stdev">1.169800437601228</sumStat><sumStat type="mean">-0.1850117096018719</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3434</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">295</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9bM27AGsgD7Oj0me7IdEvw==</notes></var><var ID="v35514218" name="V161370" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Hannity</labl><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1828129606699886</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.16229508196721104</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3337</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">392</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vIOfiNIVYWHj4BYNH4KfqQ==</notes></var><var ID="v35512928" name="V161371" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Jimmy Kimmel Live</labl><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.1571428571428646</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1856838251628685</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3315</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3tmJlwU5K5wf2TY1cenfWA==</notes></var><var ID="v35513096" name="V161372" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Kelly File</labl><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.1686182669789295</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1792493024200121</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3364</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">365</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2xK2AMubhjuC02XUsg8j/w==</notes></var><var ID="v35514254" name="V161373" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Modern Family</labl><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2140989139141618</sumStat><sumStat type="mean">-0.10304449648711612</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">645</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3084</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AZ80t+Gkyr4z7fFBPEYYKw==</notes></var><var ID="v35512839" name="V161374" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG NCIS</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2373142883730572</sumStat><sumStat type="mean">-0.053864168618267205</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">855</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2874</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cyDgRW3WDb4rNIdW2Qp3lQ==</notes></var><var ID="v35512938" name="V161375" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Nightly Show with Larry Wilmore</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1385119101469605</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.23583138173302085</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3651</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cdld7vhRE8R7oxBHO3PcqQ==</notes></var><var ID="v35512543" name="V161376" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Sunday Night Football</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.038641686182672684</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2747088572814202</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1250</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2479</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lMYi4cctTMMC7guGpCFNAw==</notes></var><var ID="v35512635" name="V161377" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Scorpion</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1696632358161307</sumStat><sumStat type="mean">-0.18524590163934165</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">294</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3435</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:je6l0GihaU6Chzv02IbDYQ==</notes></var><var ID="v35514091" name="V161378" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Simpsons</labl><sumStat type="mean">-0.19555035128805653</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1635636668487113</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3479</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">250</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WxFkiPG01SZ0PcHu42QfzA==</notes></var><var ID="v35513452" name="V161379" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Today</labl><sumStat type="mean">-0.08782201405152298</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.2215434350535743</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3019</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">710</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZEuca9lNwKe+19/d12HPAQ==</notes></var><var ID="v35512879" name="V161380" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG 60 Minutes</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.2654465876435528</sumStat><sumStat type="mean">0.013817330210775105</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1144</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2585</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rj0lfUzL9ufoFwoZyY4nxQ==</notes></var><var ID="v35513335" name="V161381" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Anderson Cooper 360</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.2041250726999746</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.12271662763465928</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">561</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3168</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uGEOiRzEkaTkfRJ/CYzrzw==</notes></var><var ID="v35513986" name="V161382" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG CBS This Morning</labl><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2209791306285216</sumStat><sumStat type="mean">-0.08899297423888279</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3024</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">705</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MticUPJ8PfF+tgefFsdaRA==</notes></var><var ID="v35513677" name="V161383" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Dancing with the Stars</labl><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.202423425480833</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.12599531615924686</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3182</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">547</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2ENdBDhpJjNPJMeIqQcrgw==</notes></var><var ID="v35512979" name="V161384" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Face the Nation</labl><sumStat type="mean">-0.16533957845433014</sumStat><sumStat type="stdev">1.181102694115934</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3350</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1bRHO0FyPJmuij5f0DuZRA==</notes></var><var ID="v35514084" name="V161385" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG House of Cards</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1759096661071227</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.1744730679156871</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3389</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">340</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KnrQAXBqy+kixA1C2KdpRg==</notes></var><var ID="v35513361" name="V161386" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Hardball with Chris Matthews</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.18992974238876117</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1669059399506374</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">274</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3455</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:y/H0TYhN3NDaSHpbPIFpIg==</notes></var><var ID="v35513435" name="V161387" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Judge Judy</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1919731194505234</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.1456674473067996</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3266</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">463</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4s8b0ZC95jSiHxo3Opubhg==</notes></var><var ID="v35512703" name="V161388" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Meet the Press</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1920999764384348</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.14543325526931863</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3265</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gB+J7GhDZ/3dYj2MtGXMxg==</notes></var><var ID="v35513140" name="V161389" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Game of Thrones</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.13606557377049108</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1971256570443263</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3225</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">504</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PhSBp6rvgbc7EYlinK5ykQ==</notes></var><var ID="v35513322" name="V161390" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG NBC Nightly News with Lester Holt</labl><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2307103200206335</sumStat><sumStat type="mean">-0.06838407494145127</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2936</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">793</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TcnXa6YRoVJatFJSJ9z0dg==</notes></var><var ID="v35512846" name="V161391" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG On the Record with Greta Van Susteren</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.1682877491575425</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.18758782201405097</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3445</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:b8KvXZoO2ud3QD6cVxXOeA==</notes></var><var ID="v35513176" name="V161392" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Daredevil</labl><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.22107728337236687</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.147915405645566</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3588</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PVNSFUbWvcEupznf8r9XBw==</notes></var><var ID="v35513020" name="V161393" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Rachel Maddow Show</labl><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.18875878220139986</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1675976362732043</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">279</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3450</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rP2NboXv+baJUpROA0RUEw==</notes></var><var ID="v35514155" name="V161394" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Shark Tank</labl><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.10702576112411466</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.2121127976935375</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3101</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">628</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TysZcj1cwCVM8xJHOM/a2A==</notes></var><var ID="v35513408" name="V161395" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Voice</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.08337236533957333</sumStat><sumStat type="stdev">1.223675197116923</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">729</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3000</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2Qf/IM9VJJi0uHfLc5IcSw==</notes></var><var ID="v35512816" name="V161396" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG ABC World News with David Muir</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.09250585480093086</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.2192779014343815</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">690</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3039</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:37oN4+57/KQV4B1nHyiTbg==</notes></var><var ID="v35513804" name="V161397" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Blue Bloods</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.2060559559386408</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.11896955503513065</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">577</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3152</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RPcPsl3EaAf6hdvRc51qmQ==</notes></var><var ID="v35514026" name="V161398" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Conan</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.2170960187353584</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1504072619151007</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3571</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sym52MQvlGeg9202K4uRAQ==</notes></var><var ID="v35513552" name="V161399" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Dateline NBC</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.02107728337236286</sumStat><sumStat type="stdev">1.2514786798177024</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">995</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2734</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3gdTrYab4dD9T2JpNSZPXw==</notes></var><var ID="v35512559" name="V161400" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Good Morning America</labl><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.029039812646367152</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.2481327410351426</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">961</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2768</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pxrsyxgoAym8xFcPhdyLZQ==</notes></var><var ID="v35514297" name="V161401" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Hawaii Five-O</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.1702576112412194</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1783180914446838</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3371</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ub7YSNnQcC4vz/7ne0t1NA==</notes></var><var ID="v35513375" name="V161402" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Madam Secretary</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.1787175511917585</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.16955503512880907</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3368</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:raQR7S/qlYFRCefIej3dfA==</notes></var><var ID="v35513112" name="V161403" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Nancy Grace</labl><sumStat type="mean">-0.2100702576112431</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.1547580466861516</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3541</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LL5eLV7nGi9c9kspnNIUAg==</notes></var><var ID="v35513865" name="V161404" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Erin Burnett OutFront</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.145700716518401</sumStat><sumStat type="mean">-0.22459016393442646</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3603</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1+jBvTPqBrgldWg26bHNdg==</notes></var><var ID="v35513802" name="V161405" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG PBS News Hour</labl><sumStat type="stdev">1.1885254155042542</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.15199063231849608</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3293</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">436</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DkfkEKqSZ/PvbG8zPgEKKg==</notes></var><var ID="v35513997" name="V161406" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Scandal</labl><sumStat type="mean">-0.1763466042154579</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1748328137739548</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3397</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">332</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m+DWO8fHM+wzwgakXT6RdQ==</notes></var><var ID="v35513464" name="V161407" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Big Bang Theory</labl><sumStat type="mean">-0.02037470725995244</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.2517710480463586</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">998</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2731</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ADUTOOpr4juO4XOGWOj7Aw==</notes></var><var ID="v35512804" name="V161408" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Late Show with Stephen Colbert</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.1627634660421508</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.182550514026509</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">390</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3339</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uVqYa2b9Og8f3FW+7nXmKg==</notes></var><var ID="v35512771" name="V161409" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The O'Reilly Factor</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.2054541386608906</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.12014051522247848</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3157</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">572</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0GucgimYxUyyabhNb1kt8Q==</notes></var><var ID="v35512869" name="V161410" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG The Tonight Show Starring Jimmy Fallon</labl><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.217219902490617</sumStat><sumStat type="mean">-0.09672131147540901</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3057</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">672</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ymUabEA14VSmo22Ht6t1HA==</notes></var><var ID="v35513444" name="V161411" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Alpha House</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.24777517564402582</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1307012548639999</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c</labl><catStat type="freq">464</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">3702</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KwfTyLF2R9xscEMmkkgLIg==</notes></var><var ID="v35513612" name="V161412" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Al Punto</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.918735362997658</sumStat><sumStat type="stdev">0.49138780502395346</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">347</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uqpttFpQJTcojsWgs7KTrQ==</notes></var><var ID="v35513877" name="V161413" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Al Rojo Vivo</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9133489461358315</sumStat><sumStat type="stdev">0.5066757690965077</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">324</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4RY+221B0hePdMdgJNlGYQ==</notes></var><var ID="v35513537" name="V161414" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Aqui y Ahora</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5066757690965077</sumStat><sumStat type="mean">-0.9133489461358315</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">324</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v+7eN4sgnikVTSQ2YeTtsg==</notes></var><var ID="v35512550" name="V161415" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG CNN en Espanol</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.49542710086876596</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9173302107728336</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">341</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jFSeM3lh3fiw1jlPC1wHdg==</notes></var><var ID="v35513853" name="V161416" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Despierta America</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.49942977463662575</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.9159250585480094</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">335</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e/yQt3IvSNOo1RdCfzzl7g==</notes></var><var ID="v35513854" name="V161417" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG El Gordo y La Flaca</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.4967653506952495</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.916861826697892</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">339</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ECo+JC/XhLe7NWXlL7v4YQ==</notes></var><var ID="v35514408" name="V161418" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Enfoque</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9259953161592505</sumStat><sumStat type="stdev">0.4698984205422065</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">378</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rW1RrmM9WZYXQo1BLM2ZFA==</notes></var><var ID="v35512871" name="V161419" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Hoy</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.922248243559719</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.48112327011397854</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">362</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GBEYwrB1qzjAV+QTJ9VkNg==</notes></var><var ID="v35513201" name="V161420" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Lo Mejor de Caso Cerrado</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.494084782227658</sumStat><sumStat type="mean">-0.9177985948477753</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">343</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dc2ru8DZKPTmpirW3p+nRw==</notes></var><var ID="v35513716" name="V161421" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Noticiero Enrique Gratas</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9231850117096018</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.4783445049452065</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">366</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G9xfvFmP2RxefBKbwFQObg==</notes></var><var ID="v35514184" name="V161422" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Noticiero Telemundo</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.9074941451990631</sumStat><sumStat type="stdev">0.5227233287905119</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">299</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GoC0Sb9YYsbWEkbLVovkyw==</notes></var><var ID="v35514131" name="V161423" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Noticiero Univision</labl><sumStat type="stdev">0.527117450168681</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.905854800936768</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZeiFVfx7DVU0u/V85gWE+w==</notes></var><var ID="v35512758" name="V161424" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG El Senor de los Cielos</labl><sumStat type="mean">-0.9224824355971898</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.48043025686666097</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">363</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R8Xa9z70bz+4vpRn0MO9uQ==</notes></var><var ID="v35513368" name="V161425" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Que Noche! con Angelica y Raul</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.47202567913235527</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9252927400468384</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">375</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TC4JWcdsKSH7SqFMdBhP5g==</notes></var><var ID="v35513568" name="V161426" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Primer Impacto</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9110070257611241</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.5131630356837217</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">314</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">71</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IotC5jOOr7vT7M5DT+/vTQ==</notes></var><var ID="v35513424" name="V161427" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: TV PROG Cronicas de Sabado</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.47484558250528835</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.9243559718969555</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363a and 0,-9 in V161363c and 1 in V161309/2,-8,-9 in V161309 </labl><catStat type="freq">3874</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">371</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2NtgpDOEXaUr394J4N6k6w==</notes></var><var ID="v35514185" name="V161428" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG Rush Limbaugh</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.8703755423167893</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.45807962529274016</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2012</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">259</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TKPYDXr9SVSDXi4xS9Bwvw==</notes></var><var ID="v35513126" name="V161429" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG Morning Edition (NPR)</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.8945043457886722</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.43559718969554845</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1916</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GaCWAhQMBRcovt2n4V69jw==</notes></var><var ID="v35513446" name="V161430" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Sean Hannity Show</labl><sumStat type="mean">-0.4674473067915684</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.85994862425929</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2052</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">219</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lDmFucM1zIIt8730dqt84Q==</notes></var><var ID="v35512927" name="V161431" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG All Things Considered (NPR)</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.9167483015908711</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.4138173302107705</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1823</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i8v3Enly7YXlBZWkqSKDAA==</notes></var><var ID="v35513532" name="V161432" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG Marketplace (NPR)</labl><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.870890965587788</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.4576112412177973</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2010</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eAHwhNhaQIdw1y3HHJDIRQ==</notes></var><var ID="v35513017" name="V161433" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Glenn Beck Program</labl><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.49227166276346673</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.8311747585429811</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2158</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ArBR6XHTS5IOtrG1V04T+Q==</notes></var><var ID="v35513950" name="V161434" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Mark Levin Show</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8328497721740278</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.49086651053864094</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2152</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CglbRd0CDln6N12mxqgRAg==</notes></var><var ID="v35512747" name="V161435" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Savage Nation (Michael Savage)</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.8241330988708013</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.4981264637002361</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2183</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">88</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rx6t0uZofmCa3E2xTJkaYw==</notes></var><var ID="v35514335" name="V161436" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG Fresh Air (NPR)</labl><sumStat type="stdev">0.8883387310147269</sumStat><sumStat type="mean">-0.44145199063231993</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">330</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1941</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qhuBbb5YNxJ6tFkaWkrsaw==</notes></var><var ID="v35513892" name="V161437" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Hugh Hewitt Show</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.5156908665105382</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.8023811938327248</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2258</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QmU8sl2wPVNEODN7NxjHLw==</notes></var><var ID="v35512701" name="V161438" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Thom Hartmann Program</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.5140515222482431</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.804452488466132</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2251</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aNkc9t2ryYYP8AY5dYnc2A==</notes></var><var ID="v35513431" name="V161439" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG Joe Madison (The Black Eagle)</labl><sumStat type="mean">-0.5161592505854801</sumStat><sumStat type="stdev">0.8017877967700261</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2260</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yr0NABlVSMy31iotbyXcSQ==</notes></var><var ID="v35513459" name="V161440" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Mike Gallagher Show</labl><sumStat type="stdev">0.806220994730684</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.51264637002342</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2245</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ftz45aAswLsGOV8anc7xDA==</notes></var><var ID="v35514276" name="V161441" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Bill Handel Show</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">0.8056321963730378</sumStat><sumStat type="mean">-0.51311475409836</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2247</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ziozBRfTHkOUZepjWgQF3w==</notes></var><var ID="v35513820" name="V161442" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG The Schnitt Show (Todd Schnitt)</labl><sumStat type="mean">-0.5161592505854797</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.8017877967700261</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2260</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g4y78BgHh1er05UgnP+WtQ==</notes></var><var ID="v35514307" name="V161443" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Radio PROG None of the above</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.090041487957921</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.19812646370023435</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">1369</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363e</labl><catStat type="freq">1963</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">902</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/Zzoow/vImFT9mu1o8XjKQ==</notes></var><var ID="v35514022" name="V161444" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Yahoo News (www.yahoo.com/news)</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.27868852459016413</sumStat><sumStat type="stdev">0.9180984778975254</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1916</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">676</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hxkuICuDktGbNdU3Fu62pA==</notes></var><var ID="v35513449" name="V161445" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website CNN.com</labl><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.29625292740046855</sumStat><sumStat type="stdev">0.9029038869682667</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1991</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">601</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MD/uF7M99R+a7/ljojR8hg==</notes></var><var ID="v35514352" name="V161446" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website NBC News (www.nbcnews.com)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.34824355971897</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.8542347389060428</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2213</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NYjBdUaB7+iH4vtZUw8bFA==</notes></var><var ID="v35512535" name="V161447" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Huffington Post (www.huffingtonpost.com)</labl><sumStat type="stdev">0.9126965175251193</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.2850117096018733</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">649</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1943</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lORi7PvxV0S1R6mZQGQGMA==</notes></var><var ID="v35513512" name="V161448" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website CBS News (www.cbsnews.com)</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.8509657343549503</sumStat><sumStat type="mean">-0.3515222482435599</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2227</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">365</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UmCGKsiK7/q0LLqBHGOKaA==</notes></var><var ID="v35514166" name="V161449" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website USA Today (usatoday.com)</labl><sumStat type="mean">-0.34074941451990665</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.8616133197304143</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2181</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MV2HnCg43mJ5+G4NmeiguA==</notes></var><var ID="v35514366" name="V161450" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Buzzfeed.com</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.8332594078780668</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.36885245901639274</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2301</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Y9TSyh9rEe3GfqQQGKYVMQ==</notes></var><var ID="v35513443" name="V161451" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website New York Times (nytimes.com)</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.31873536299765826</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.8825633425614237</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2087</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">505</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wn6lDnJnnqNji+OrExyDmg==</notes></var><var ID="v35514327" name="V161452" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Fox News (www.foxnews.com)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.28665105386416834</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">0.9112836184375648</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1950</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:reJ16isSP+4ehSndDp4bkg==</notes></var><var ID="v35513451" name="V161453" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Mail Online / Daily Mail (dailymail.co.uk)</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.79286665548168</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.40585480093676796</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2459</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">133</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4vor/cuHmMPDswCk7aC9/w==</notes></var><var ID="v35513265" name="V161454" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Washington Post (washingtonpost.com)</labl><sumStat type="stdev">0.8666120530523912</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.3355971896955501</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2159</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">433</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WjU3afOFyR0va50ybzgIgw==</notes></var><var ID="v35513657" name="V161455" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Business Insider (businessinsider.com)</labl><sumStat type="mean">-0.40702576112412214</sumStat><sumStat type="stdev">0.791526515759386</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2464</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KhjhtYnpjpXpJDWHb38ToQ==</notes></var><var ID="v35514089" name="V161456" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website BBC News (news.bbc.co.uk)</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.35152224824355993</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.8509657343549504</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2227</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">365</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Cjk45UdEMB7+3djiRoG2og==</notes></var><var ID="v35513914" name="V161457" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website The Guardian (theguardian.com)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.8060519549230534</sumStat><sumStat type="mean">-0.39414519906323203</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2409</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QiLzdnYYmIruKj/v8CiCDA==</notes></var><var ID="v35513137" name="V161458" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website ABC News (abcnews.com)</labl><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.33676814988290427</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8654812063499361</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">428</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2164</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pmFK1zFRpK+HBBxB/k9AkQ==</notes></var><var ID="v35513437" name="V161459" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website Other</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.3620608899297424</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.8402854349128391</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2272</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">320</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oMythSB/xhoOVI3VrVxRzQ==</notes></var><var ID="v35514176" name="V161460" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Website None</labl><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.305854800936768</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8943425461355551</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">2032</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363d</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">560</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5WpPRXrntwcGyVBthOdL7w==</notes></var><var ID="v35514087" name="V161461x" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: SUMMARY- Number of additional preloaded newspapers</labl><sumStat type="stdev">0.7764184150213654</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">1.3737704918032765</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Four additional newspaper preloads (8 total newspapers)</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No additional preload (4 default newspapers [NYT, USA Today, WSJ, Wash Post])</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One additional preload (5 total newspapers)</labl><catStat type="freq">2509</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Six additional newspaper preloads (10 total newspapers)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Seven additional newspaper preloads (11 total newspapers)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three additional newspaper preloads (7 total newspapers)</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Five additional newspaper preloads (9 total newspapers)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Two additional preloads (6 total newspapers)</labl><catStat type="freq">1126</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c5AUdO9IOBzxRQPxTSrwMA==</notes></var><var ID="v35513111" name="V161462" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 5th newspaper</labl><sumStat type="max">-1.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35512711" name="V161463" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 6th newspaper</labl><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35513964" name="V161464" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 7th newspaper</labl><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35512540" name="V161465" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 8th newspaper</labl><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35512707" name="V161466" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 9th newspaper</labl><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.985948477751754</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9  in V161363b</labl><catStat type="freq">2176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35513387" name="V161467" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 10th newspaper</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9  in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35513549" name="V161468" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: RESTRICTED- 11th newspaper</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.0102724792034778</sumStat><sumStat type="mean">-1.985948477751754</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">2083</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9  in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rfj+75KoEcqFEmZn8mV7XA==</notes></var><var ID="v35514382" name="V161469" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper The New York Times</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.7733021077283339</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.614422903655921</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1766</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">175</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:j1/+ixUPO9923ELTcFaYyg==</notes></var><var ID="v35512793" name="V161470" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper USA Today</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.6232278200157835</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.7620608899297395</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1718</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4LgvZHMPUpb+9le9h8kDeg==</notes></var><var ID="v35513356" name="V161471" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper The Wall Street News</labl><sumStat type="mean">-0.7829039812646443</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.6068015418238009</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1807</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xO+UVoL5THvA1J4uV6cb7Q==</notes></var><var ID="v35513299" name="V161472" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper The Washington Post</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.7936768149882752</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.5981387975719374</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1853</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">88</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iS0c93hVYCTAJn6VllYCxg==</notes></var><var ID="v35514251" name="V161473" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[5]</labl><sumStat type="stdev">1.6525586040251385</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.5906323185011747</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">890</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 5th printed newspaper</labl><catStat type="freq">2315</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">931</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WOhTnRuUS7WInHLjlhPnkA==</notes></var><var ID="v35512578" name="V161474" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[6]</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.8861826697892246</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.0437473230965653</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 6th printed newspaper</labl><catStat type="freq">3524</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">450</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:acWUWRtULFGXYlsxcdAI4A==</notes></var><var ID="v35514375" name="V161475" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[7]</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.45092813230364087</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9695550351288051</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 7th printed newspaper</labl><catStat type="freq">4091</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">124</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NLEkVRNdCuETDn/mMAs0zQ==</notes></var><var ID="v35513959" name="V161476" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[8]</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.24434389342762095</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.9946135831381732</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 8th printed newspaper</labl><catStat type="freq">4228</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yo0br5wLAxz0wTVGHB23Jg==</notes></var><var ID="v35513669" name="V161477" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[9]</labl><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 9th printed newspaper</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513269" name="V161478" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[10]</labl><sumStat type="mean">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 10th printed newspaper</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513894" name="V161479" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Printed newspaper pnews[11]</labl><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/1 in V161363b and  no 11th printed newspaper</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513243" name="V161480" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Other printed newspaper</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.6241377782279987</sumStat><sumStat type="mean">-0.7608899297423897</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1713</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Q7pzUc70QJy22SLSpU+HxA==</notes></var><var ID="v35513589" name="V161481" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: No printed newspaper</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6733331175918862</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.694847775175661</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1431</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">510</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k/HOGctjCbrSc+iUnPUw2w==</notes></var><var ID="v35513263" name="V161482" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: www.nytimes.com (New York</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">2.3482963311201077</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.1295081967213119</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">337</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1417</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nviUukfH+WShOkpxoqxDRg==</notes></var><var ID="v35513266" name="V161483" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: www.usatoday.com (USA</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">2.329872333262308</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.1557377049180477</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">225</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1529</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p0Gt+yxkEUuPHNMbJNvGjw==</notes></var><var ID="v35514103" name="V161484" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: online.wsj.com (Wall Street Journal)</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.1765807962529442</sumStat><sumStat type="stdev">2.3149153333577526</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1618</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:16yKX1hhK/Olb3pHZJCbFw==</notes></var><var ID="v35513909" name="V161485" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: www.washingtonpost.com (Washington Post)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.1503512880562148</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.3336917607650984</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1506</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:N8TJSS6zUOIh7cCExPqavQ==</notes></var><var ID="v35514334" name="V161486" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[5]</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-1.0505854800936802</sumStat><sumStat type="stdev">2.286110173943203</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1094</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">551</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">293</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 5th newspaper</labl><catStat type="freq">2315</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DetnWSWnk68PJnT3KqcBeQ==</notes></var><var ID="v35512669" name="V161487" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[6]</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.3773350483783746</sumStat><sumStat type="mean">-1.0285714285714296</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 6th newspaper</labl><catStat type="freq">3524</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">478</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4lN0orvcrGGhbdUwtzqNqg==</notes></var><var ID="v35512891" name="V161488" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[7]</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.6879205922005804</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.0133489461358327</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 7th newspapear</labl><catStat type="freq">4091</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">121</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aPybP96gE2EEQWRG+4f0WA==</notes></var><var ID="v35512545" name="V161489" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[8]</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-1.0032786885245906</sumStat><sumStat type="stdev">0.34358359009515105</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 8th newspaper</labl><catStat type="freq">4228</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o/cK/stOpGoJttfAphcXuA==</notes></var><var ID="v35513271" name="V161490" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[9]</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 9th newspaper</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35512639" name="V161491" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[10]</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 10th newspaper</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513582" name="V161492" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Online newspaper inews[11]</labl><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b/no 11th newspaper</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513081" name="V161493" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: Other online newspaper</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.315254568415961</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.176112412177983</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">1616</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bkXlLZq1hHGbeAIdmZjpWA==</notes></var><var ID="v35512992" name="V161494" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: Mention: No online newspaper</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-1.0231850117096006</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.4186315475127773</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 0,-9 in V161363b</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected</labl><catStat type="freq">963</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused question</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected</labl><catStat type="freq">791</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:h/5o5m0zGjJQ7STJjBdQMg==</notes></var><var ID="v35513441" name="V161495" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI/WEB: No. days in wk R uses soc media to learn Pres election</labl><sumStat type="max">7.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">3.657377049180322</sumStat><sumStat type="stdev">3.420472948184152</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. None</labl><catStat type="freq">1261</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Two days</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three days</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Five days</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Seven days</labl><catStat type="freq">1701</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Four days</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Six days</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One day</labl><catStat type="freq">234</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8KaMWk2zvAXG7/wfgAS7TA==</notes></var><var ID="v35513279" name="V161496" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: How many Guns owned</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">5.4143156694729795</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mean">0.8775175644028118</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">240</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lgXVvHCF41FzR4QNbwm3gA==</notes></var><var ID="v35512555" name="V161497" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set B</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6096628419047103</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6149882903981304</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3695</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">442</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rBhg633s+0depxdBvOVHpg==</notes></var><var ID="v35513164" name="V161498" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set D</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.6957845433255304</sumStat><sumStat type="stdev">1.4951960335283458</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3901</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">85</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z0XF3LNJjQ4lZJ8RWh01wQ==</notes></var><var ID="v35513292" name="V161499" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set E</labl><sumStat type="stdev">1.476209481088463</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.6021077283372335</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">691</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3465</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5DKw356RfT8vN7y3WYoWDg==</notes></var><var ID="v35513013" name="V161500" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set F</labl><sumStat type="mean">0.675878220140519</sumStat><sumStat type="stdev">1.4858917579659416</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">350</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3803</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">83</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J4Eh5qLHPtVUOwTjM0Zr8Q==</notes></var><var ID="v35514371" name="V161501" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set G</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.17915690866510434</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.585979281042102</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2291</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1844</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">34</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xq72o4iyjLfBuTW6N3x1tw==</notes></var><var ID="v35512948" name="V161502" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set H</labl><sumStat type="mean">0.12131147540983835</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.7224327487143367</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2302</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1809</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:laAGNdajsqCjGDzKbp1OoQ==</notes></var><var ID="v35513793" name="V161503" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set J</labl><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.22365339578454685</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5290894507444879</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2195</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1949</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a4k91rzG0MhnsxzQQBSMiA==</notes></var><var ID="v35513635" name="V161504" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set K</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.5887608908982573</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.4473067915690918</sumStat><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">2954</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1184</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">36</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uYP1iYspW4m9oranTK8cgQ==</notes></var><var ID="v35514156" name="V161505" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set L</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.509925534429948</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.40983606557377755</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">2696</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1452</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HD8mNelHXjGjIP3DqOtmgQ==</notes></var><var ID="v35513400" name="V161506" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Correct or incorrect- WORDSUM set O</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.4337236533957831</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5273522265869068</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">2821</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1324</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:U7zkOnIZdlxgWBHg5FNg9A==</notes></var><var ID="v35514315" name="V161507" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Innocent remarks as sexist</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.039329515687278</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.6274004683840713</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">317</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1246</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1519</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">633</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">440</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bfESQPZ8U0NdFFUg5vrYJQ==</notes></var><var ID="v35513286" name="V161508" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Women fail to appreciate what men do for them</labl><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.025526932084309</sumStat><sumStat type="stdev">2.144805704935433</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">901</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">759</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1485</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">774</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">234</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:osfAEvdYDRliXRKL/mCu3w==</notes></var><var ID="v35514343" name="V161509" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Women seek to gain power by getting control over men</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">2.206464332473885</sumStat><sumStat type="mean">3.091100702576111</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">717</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1442</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">1047</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">734</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oc+4nAKRZ2ZOdNWB2cyP0Q==</notes></var><var ID="v35514303" name="V161510" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Women put men on a tight leash</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.270491803278685</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">2.2291212364549664</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1351</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">1295</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">568</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">769</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2qC3NIoRzrrH+c5dAaxV6g==</notes></var><var ID="v35512734" name="V161511" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Sexual orientation of R</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.8021077283372393</sumStat><sumStat type="stdev">1.6239151039396011</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Bisexual</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Heterosexual or straight</labl><catStat type="freq">3908</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Homosexual or gay (or lesbian)</labl><catStat type="freq">109</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4m2yjjl7EtqG2s+jaGFJTg==</notes></var><var ID="v35513280" name="V161512" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Sexual orientation of family and friends</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.1662763466042148</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.6925797986429851</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2273</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1864</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">44</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NyA0FB3MCFsx8Fg8aqw4Zg==</notes></var><var ID="v35513369" name="V161513" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Years Senator Elected</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">4.515690866510537</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.53606481218142</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">150</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MQRit4lZnPSdvHadNT355Q==</notes></var><var ID="v35514122" name="V161514" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Political knowledge: program Fed govt spends</labl><sumStat type="max">4.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.09932019910202</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.3459016393442527</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. Social Security</labl><catStat type="freq">1611</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. National defense</labl><catStat type="freq">545</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Foreign aid</labl><catStat type="freq">1151</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Medicare</labl><catStat type="freq">842</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">73</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CkCwmkB7jloMvItIEM5Cww==</notes></var><var ID="v35513960" name="V161515" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Party with Most Members In House Before Election</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.037663701233776</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.3187353629976577</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">2995</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">1092</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">134</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZQBzAsQjhENXBE5Ca+RYIw==</notes></var><var ID="v35513586" name="V161516" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI / WEB: Party with Most Members In Senate Before Election</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.0674822183169987</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.2449648711943775</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">2740</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">1341</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">49</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eYp/PavjtB7wI21aI6m9+w==</notes></var><var ID="v35513624" name="V161517" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE WEB ONLY: ease of online access</labl><sumStat type="stdev">2.8342207267832364</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">2.6629976580795507</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. A little easy</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately easy</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely easy</labl><catStat type="freq">1912</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Very easy</labl><catStat type="freq">522</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all easy</labl><catStat type="freq">103</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z7OFkyw8lzA00X3QHq+Klw==</notes></var><var ID="v35513714" name="V161518" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI ONLY: R rating of interviewer</labl><sumStat type="stdev">1.257205112187591</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.5220140515222381</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Bad</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither good nor bad</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Good</labl><catStat type="freq">1092</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:b9t1GsxMhjA8L/8S4OGpYg==</notes></var><var ID="v35514151" name="V161519" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI ONLY: R rating of interviewer degree</labl><sumStat type="mean">-0.4419203747072675</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">0.9736630505398773</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely</labl><catStat type="freq">918</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-9 in V161518/Web mode</labl><catStat type="freq">3175</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hnf6OSC8KnCG5fqCSI45JA==</notes></var><var ID="v35514165" name="V161520" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI ONLY: R rating of interview</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.3709601873536531</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.5204084488411513</sumStat><catgry><catValu>2</catValu><labl level="category">2. Disliked</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, Web mode</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither liked nor disliked</labl><catStat type="freq">349</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Liked</labl><catStat type="freq">752</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jGvRYKUKJb0QtjyHJ4rb7g==</notes></var><var ID="v35514238" name="V161521" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE FTF CASI ONLY: R rating of interview degree</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.37306791569087844</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.3514264442175883</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3,-9 in V161520/Web mode</labl><catStat type="freq">3480</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A great deal</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A little</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">387</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6vOMteSQ84EDRWgOZ1IRdw==</notes></var><var ID="v35514272" name="V161522" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE: How satisfied is R with life</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.5961841925328744</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.2674473067915697</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Slightly satisfied</labl><catStat type="freq">366</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not satisfied at allrun</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very satisfied</labl><catStat type="freq">1590</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately satisfied</labl><catStat type="freq">1418</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely satisfied</labl><catStat type="freq">678</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RcA3nlCr/oeIgaqBNtTBRg==</notes></var><var ID="v35514262" name="V161523" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE WEB ONLY: RESTRICTED R comments</labl><sumStat type="medn">-3.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.9033719374766389</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.452459016393432</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access, not available, protection of respondent anonymity</labl><catStat type="freq">3079</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k/dABu1W2D6858NryuSkvw==</notes></var><var ID="v35513432" name="V162001" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF ONLY: Audio recording consent</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.19953161592508</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.3129484206602244</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Continue</labl><catStat type="freq">1020</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2590</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Refuse to allow audio recording</labl><catStat type="freq">38</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CTWBZ+Uo/8SKimgLCSwmKg==</notes></var><var ID="v35512903" name="V162002" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How many programs about 2016 campaign did R watch on TV</labl><sumStat type="mean">1.6156908665105432</sumStat><sumStat type="stdev">3.324714156724914</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Just one or two</labl><catStat type="freq">837</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Several</labl><catStat type="freq">1247</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A good many</labl><catStat type="freq">1246</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. None</labl><catStat type="freq">318</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W0o0BviF7QbsqHTeM6j4Nw==</notes></var><var ID="v35512895" name="V162003" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How many speeches about 2016 campaign did R listen to on radio</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.975175644028105</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.1195951101870496</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Several</labl><catStat type="freq">794</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just one or two</labl><catStat type="freq">817</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. None</labl><catStat type="freq">1394</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A good many</labl><catStat type="freq">643</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EjeuuShSD69TuN5T9BVLEA==</notes></var><var ID="v35512917" name="V162004" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How many times R got info about 2016 campaign on the Internet</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6096018735363002</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.3546591062552524</sumStat><catgry><catValu>2</catValu><labl level="category">2. Just one or two</labl><catStat type="freq">581</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Several</labl><catStat type="freq">1183</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A good many</labl><catStat type="freq">1372</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. None</labl><catStat type="freq">510</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WlpCnpQGuXpeg8akAMWMgg==</notes></var><var ID="v35513327" name="V162005" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How many stories R read about 2016 campaign in any newspaper</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.9742388758782209</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="stdev">3.121013879429751</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A good many</labl><catStat type="freq">658</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. None</labl><catStat type="freq">1404</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just one or two</labl><catStat type="freq">816</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Several</labl><catStat type="freq">770</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:T9W4SoZOC8hbLgxnGMly0g==</notes></var><var ID="v35513391" name="V162006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R visit website of candidate</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">2.819602214707475</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.2749414519906332</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, visited candidate web site(s)</labl><catStat type="freq">768</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">512</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Never did that</labl><catStat type="freq">2368</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zF6SihtY6z7vMf2+g90L4A==</notes></var><var ID="v35514268" name="V162007" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did party contact R about 2016 campaign</labl><sumStat type="mean">0.5309133489461391</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.805284786048621</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">2467</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1178</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:asuc1sl3vxJ2pWlQuUb6Bg==</notes></var><var ID="v35513213" name="V162007a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Which party contacted R about 2016 campaign</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.60278704230234</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9304449648711937</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2470</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">270</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">455</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rn1sFShypnZiC9ZhW7JkvA==</notes></var><var ID="v35512553" name="V162008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did anyone other than parties contact R about cands</labl><sumStat type="stdev">2.849051091813435</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.7028103044496453</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">467</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RlY6Rfti6IokUlOJFkcnFg==</notes></var><var ID="v35514243" name="V162009" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Anyone talk to R abt registering or getting out to vote</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.42412177985948074</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.7520692381822673</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, no one did</labl><catStat type="freq">1981</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, someone did</labl><catStat type="freq">1667</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hp6pa7ObRqngzM0x6ZJ5og==</notes></var><var ID="v35513733" name="V162010" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R talk to anyone about voting for or against cand or pty</labl><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.38384074941452107</sumStat><sumStat type="stdev">2.740681309239999</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1819</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1828</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FMTtNW+qfFOOWDE5WIbxeg==</notes></var><var ID="v35512737" name="V162011" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R go to any political meetings, rallies, speeches</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.7510538641686125</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.862933046848197</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3387</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">260</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:93zSIe0/zHq7WO7UzqzDTQ==</notes></var><var ID="v35512651" name="V162012" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R wear campaign button or post sign or bumper sticker</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">2.85150481948724</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.70866510538641</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">441</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3206</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fWapcQhHBSWa32B/Jyp7Zg==</notes></var><var ID="v35512738" name="V162013" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R do any (other) work for party or candidate</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">2.871370506667233</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.7840749414519907</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3528</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NwLBNE5KbN3PO58X7Pv9/w==</notes></var><var ID="v35513384" name="V162014" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R contribute money to specific candidate campaign</labl><sumStat type="mean">0.7035128805620537</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8582768204770233</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3203</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bgTqEW1VzwVpAQAlhppSWQ==</notes></var><var ID="v35513754" name="V162014a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party of candidate for whom R contributed money</labl><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.0939713383993688</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.4836065573770507</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3206</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both Democratic and Republican</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">157</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rLuLSTGcUTNeSIdl3KpP8w==</notes></var><var ID="v35513852" name="V162014b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: RESTRICTED- Other specify - party of candidate for whom R contributed</labl><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.244028103044518</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8186536839043754</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2590</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nAQJIbFj0HZd5dw8pDZB7Q==</notes></var><var ID="v35513142" name="V162016" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R contribute money to political party</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.8683330478342524</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.7405152224824406</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3361</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l+jpGz85yHHVL29woqjKKg==</notes></var><var ID="v35514101" name="V162016a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party to which R contributed</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">1.9999357593628524</sumStat><sumStat type="mean">-1.5789227166276378</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both Democratic and Republican parties</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3364</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VLmVxCrs8fboyJjDA/vzyw==</notes></var><var ID="v35514259" name="V162016b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: RESTRICTED- Other specify - party to which R contributed</labl><sumStat type="stdev">1.8186536839043754</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.244028103044518</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2590</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nAQJIbFj0HZd5dw8pDZB7Q==</notes></var><var ID="v35513573" name="V162017" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R contribute to any other group for/against a cand</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.8693232513189546</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mean">0.7791569086651012</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">3506</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IV1wxkhfdIKunMlUEQX9Yw==</notes></var><var ID="v35512630" name="V162018a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: Has R in past 12 months: joined a protest march</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.871487276659067</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.7845433255269295</sumStat><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">3530</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:E9xf5ZEg/qMXPO8MlF1fzg==</notes></var><var ID="v35514164" name="V162018b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: Has R in past 12 months: signed petition</labl><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.6018735362997681</sumStat><sumStat type="stdev">2.8234198171676415</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">2759</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">887</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:q/oVknw2zOkW/R9hsaFELw==</notes></var><var ID="v35513086" name="V162018c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: Has R in past 12 months: given money to relig org</labl><sumStat type="stdev">2.769145238710595</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.4564402810304498</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">2129</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">1518</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZYf2OS5tudAw+J9/BtvBrw==</notes></var><var ID="v35512856" name="V162018d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: Has R in past 12 months: gave money to soc/pol org</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.842705632300587</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.6278688524590161</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8 Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">746</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">2897</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FXteqGoA3cvsEEXPuv9OzA==</notes></var><var ID="v35512890" name="V162018e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: sent a message on Facebook/Twitter about polit iss</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.5236533957845381</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.8019298224890106</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">2435</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">1210</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TM62pnaRztAGO1I0rRw76Q==</notes></var><var ID="v35514040" name="V162019" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Contact U.S. Representative or Senator</labl><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.864144808323163</sumStat><sumStat type="mean">0.7084309133489533</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have not done this in past 12 months</labl><catStat type="freq">3234</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have done this in past 12 months</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cN4X5N7YB0wpRc9SejHldg==</notes></var><var ID="v35514115" name="V162020a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Who did R contact: was it U.S. Senator from R's state</labl><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.5875878220140482</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.961490471825574</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">294</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3238</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ByEvkMP7u7VSoNckMMEiFg==</notes></var><var ID="v35513136" name="V162020c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Who did R contact: was it R's district U.S. Representative</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.5932084309133512</sumStat><sumStat type="stdev">1.9511727164527712</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3238</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">262</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RGfIXUmnCuFNsUpq9TbKiA==</notes></var><var ID="v35513053" name="V162020b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Who did R contact: was it U.S. Senator from another state</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.6388758782201427</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.9009895343482561</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No</labl><catStat type="freq">342</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3238</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xIDVE8VwD8u6vmoEh9/WVA==</notes></var><var ID="v35512729" name="V162020d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Who did R contact: was it other U.S. Representative</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-1.6426229508196701</sumStat><sumStat type="stdev">1.8967641826835142</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. No</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3238</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">51</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7iRFYrooxZhD9+RGxhZL3A==</notes></var><var ID="v35512874" name="V162021a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Vote section- order of major party candidate names / FTF Ballot Color</labl><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.3826697892271592</sumStat><sumStat type="stdev">2.7354982983655884</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican candidate names 1st /FTF green Ballot Card</labl><catStat type="freq">1804</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic candidate names 1st /FTF yellow Ballot Card</labl><catStat type="freq">1844</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JzTGX01628fngDynP8P3/Q==</notes></var><var ID="v35512692" name="V162021b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Vote section- household address preloaded (sample address)</labl><sumStat type="min">-7.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.03981264637002317</sumStat><sumStat type="stdev">2.521922241004622</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Sample address not preloaded</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Sample address preloaded</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YWnAAX4Nk8dGkb1gxy0u6g==</notes></var><var ID="v35513168" name="V162021c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Vote section- candidate names preloaded for sample address</labl><sumStat type="stdev">2.5193354797396617</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.0517564402810274</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Candidate names preloaded for location of sample address</labl><catStat type="freq">3597</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No candidate names preloaded for location of sample address</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HpWLg0H+WlgdmBx7iHFYoQ==</notes></var><var ID="v35513007" name="V162022" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R registered to vote (Post-election)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.3487119437939141</sumStat><sumStat type="stdev">2.2867604479653623</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, registered in Pre (1,2 in V161011/1 in V161011a [WEB ONLY])</labl><catStat type="freq">3137</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not currently registered</labl><catStat type="freq">339</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Registered at a different address</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Registered at this address</labl><catStat type="freq">144</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l2lKz1Lcw+ntqXnr/2ew/A==</notes></var><var ID="v35513967" name="V162022a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST WEB: Is R registered (registration address not answered)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.750351288056204</sumStat><sumStat type="stdev">1.8209804114043608</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode/WEB: 1,2,3 in V162022/registered in Pre (1,2 in V161011/1 in V161011a [WEB ONLY])</labl><catStat type="freq">3647</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QEb9JC969m7o3/mwtWexiw==</notes></var><var ID="v35512766" name="V162023" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Address of registration given (not registered at sample address)</labl><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.7360655737704922</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8301978704330233</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Partial address given for registration address</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Only P.O. box given as registration address</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Registration address given</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Registration address not given</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, WEB: 2,-9 in V162022a/1,3 in V162022/FTF: -8,-9 in V162022/registered in Pre (1,2 in V161011/1 in V161011a</labl><catStat type="freq">3622</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZQx683Hh3gXqMhwsEArWCg==</notes></var><var ID="v35513230" name="V162024a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: State included in address of registration (not registered at samp addr)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.7370023419203728</sumStat><sumStat type="stdev">1.8284120342177181</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. State not included for registration address</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. State included for registration address</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/1,3 in V162022/FTF: -8,-9 in V162022/registered in Pre (1,2 in V161011/1 in V161011a</labl><catStat type="freq">3622</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NJklV7+AJTYVt8FYSbwxkA==</notes></var><var ID="v35513298" name="V162024b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: City included in Post address of registration (not registered at samp addr</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.8353029739330151</sumStat><sumStat type="max">9.0</sumStat><sumStat type="mean">-1.7351288056206118</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. City included for registration address</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, WEB: 2,-9 in V162022a/1,3 in V162022/FTF: -8,-9 in V162022/registered in Pre (1,2 in V161011/1 in V161011a</labl><catStat type="freq">3622</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. City included in incorrect field (other field)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. City not included for registration address</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Only city of P.O. Box given (3 in V162023)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W8NONoNA8exdRJBhxHtr+A==</notes></var><var ID="v35513700" name="V162025" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: State of registration - reg state not given (not registered at samp addr)</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">36.0</sumStat><sumStat type="stdev">2.0053678029131756</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.7278688524590193</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 1 in V162024a/WEB: 2,-9 in V162022a/1,3 in V162022/FTF: -8,-9 in V162022/registered in Pre (1,2 in V161011/</labl><catStat type="freq">3645</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W1YXGDs8EQi/pWJsftiKfw==</notes></var><var ID="v35512872" name="V162026a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: State of regist for Post vote section (Pre nonvoter; reg state given Pre o</labl><sumStat type="mode">.</sumStat><sumStat type="max">56.0</sumStat><sumStat type="medn">18.0</sumStat><sumStat type="mean">19.76533957845432</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">19.382798351303624</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/3 in V162022/FTF: -8,-9 in V162022/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted to to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Only state of P.O. Box given (3 in V162023)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4mTVEwEpMU5MsNpMU5zR6A==</notes></var><var ID="v35514032" name="V162026b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: State of regist for Post vote section same as sample address state</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.5035269764520334</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">-0.27775175644028127</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/3 in V162022/FTF: -8,-9 in V162022/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. State of registration is not same as state of sample address</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. State of registration same as state of sample address</labl><catStat type="freq">3104</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7p+FSnx2uU6h7SBNSgHVWQ==</notes></var><var ID="v35512744" name="V162026c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Senate race in state of registration (all registrations)</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">-0.4714285714285702</sumStat><sumStat type="stdev">2.4349111462086075</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Senate race in state of registration</labl><catStat type="freq">2277</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No Senate race in state of registration</labl><catStat type="freq">899</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/3 in V162022/FTF: -8,-9 in V162022/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KigrBezw1Qv9mVNRGdVZgA==</notes></var><var ID="v35513644" name="V162026d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Governor race in state of registration (all registrations)</labl><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.8990632318501194</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.2169461823600876</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/3 in V162022/FTF: -8,-9 in V162022/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No Governor race in state of registration</labl><catStat type="freq">2725</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Governor race in state of registration</labl><catStat type="freq">451</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O24mBhVZFO6zOoSTL2SZEg==</notes></var><var ID="v35513390" name="V162026e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party registration in state of registration (all registrations)</labl><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.2428688803690207</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.1440281030444997</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No party registration in state of registration</labl><catStat type="freq">1857</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Party registration in state of registration</labl><catStat type="freq">1819</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, WEB: 2,-9 in V162022a/3 in V162022/FTF: -8,-9 in V162022/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FURatzKbO5ZRFow/b+rJaQ==</notes></var><var ID="v35512722" name="V162027" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is R registered to vote in preload county (not reg at sample address)</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.829534345679157</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.7372365339578435</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No, registered in other county</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. [county] is incorrect {VOL} {SPECIFY}</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-9 in V162022a/1,3 in V162022/2 in V162022 and 0 in V162026b/FTF: -8,-9 in V162022/registered in Pre (1,</labl><catStat type="freq">3627</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, registered in [county of sample address]</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DWciolsntMFPnfn0hDhS7g==</notes></var><var ID="v35513419" name="V162028" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How many years has R been registered at registration location</labl><sumStat type="mean">-1.6487119437939155</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.928753708498425</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2-5 years</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3,-8,-9 in V162022/0 in V162024b/1,2 in V161011/1 in V161011a (WEB ONLY)</labl><catStat type="freq">3481</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5 years or more</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 0-1 years</labl><catStat type="freq">102</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+oC08u5HFUbYcnBsmkEADg==</notes></var><var ID="v35514050" name="V162028x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE-POST: SUMMARY- years has R been registered at registration location</labl><sumStat type="stdev">1.5869476909411426</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.8262295081967221</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2-5 years</labl><catStat type="freq">869</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, reg address (incl city) not given in Pre or Post/not reg in Pre or Post/no Post IW and not reg in Pre</labl><catStat type="freq">451</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, reg address (incl city) not given in Pre or Post/not registered in Pre or Post/no Post IW and not registered</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5 years or more</labl><catStat type="freq">2038</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 0-1 years</labl><catStat type="freq">905</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uYGR8SM9Ei4bXE7TrihAAQ==</notes></var><var ID="v35513302" name="V162029" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Was name recorded for registration name</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.8942596667795146</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.6672131147540956</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. RESTRICTED: Partially recorded: one word as name, or initial(s) only</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/registered in Pre (1,2 in V161011/1 in V161011a [</labl><catStat type="freq">3478</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No name recorded /non-name response</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. RESTRICTED: Recorded, two words that appear to be first/last names</labl><catStat type="freq">155</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M52jPeJad7vqr+iI5IRTBw==</notes></var><var ID="v35512720" name="V162029x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE-POST: SUMMARY - Name recorded for registration name</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">0.6838407494145188</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.9485703278265438</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, not registered in Pre or Post/no Post IW and not registered in Pre</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. RESTRICTED: Partially recorded: one word as name, or initial(s) only</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No name recorded /non-name response</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, not registered in Pre or Post/no Post IW and not registered in Pre</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. RESTRICTED: Recorded, two words that appear to be first/last names</labl><catStat type="freq">3538</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZGr5PB8nTnbBKhOyY2g7Eg==</notes></var><var ID="v35513811" name="V162030" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party of registration</labl><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.9182728776232458</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.6775175644028075</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other party SPECIFY</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. None or 'independent'</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, registered in state w/o party reg/3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/party of reg re</labl><catStat type="freq">3557</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Party</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Party</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fj/UFaJnfgz1fApA1wy5oA==</notes></var><var ID="v35514245" name="V162030x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE-POST: SUMMARY - Party of registration</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.048009367681497106</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.2731672427625997</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican Party</labl><catStat type="freq">703</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Party</labl><catStat type="freq">961</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, not registered in Pre or Post/no Post IW and not registered in Pre</labl><catStat type="freq">2060</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other party SPECIFY</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, registered in state w/o party reg/not registered in Pre or Post/no Post IW and not registered in Pre</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. None or 'independent'</labl><catStat type="freq">503</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zFvksvCOHR2J73DCFwEpJA==</notes></var><var ID="v35512841" name="V162031" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R vote in the November 2016 elections</labl><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.7585480093676786</sumStat><sumStat type="stdev">3.6415930643470618</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/4 in V161024x</labl><catStat type="freq">472</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF ONLY)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. I usually vote, but didn't this time</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. I did not vote (in the election this November)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. I thought about voting this time, but didn't</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. I am sure I voted</labl><catStat type="freq">2731</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wq8Zf3MvijyiahECsxVsTg==</notes></var><var ID="v35514146" name="V162031x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE-POST: SUMMARY -Did R vote in 2016</labl><sumStat type="stdev">1.2308405831972484</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.23489461358313907</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused (in V162031)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, 3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/no Post and not 4 in V161024x</labl><catStat type="freq">938</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/no Post and not 4 in V161024x</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (in V162031)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Did not vote in 2016 </labl><catStat type="freq">444</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Voted in 2016 </labl><catStat type="freq">2887</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/7GlI+xyLvUlFbS/RQDj/w==</notes></var><var ID="v35513630" name="V162032x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY - Post vote status for registered respondents</labl><sumStat type="medn">3.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.2121032350535637</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.2515222482435664</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Post status registered, did not vote (or DK/RF if voted)</labl><catStat type="freq">445</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Post status registered and voted</labl><catStat type="freq">2731</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, reported voting in Pre</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Post status not (or DK/RF if) registered, did not vote (or DK/RF if voted)</labl><catStat type="freq">341</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, R reported voting in Pre</labl><catStat type="freq">131</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5hqGXFx28a6e80Ozoq0SDg==</notes></var><var ID="v35513596" name="V162033" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF ONLY: IWR CHECKPOINT: have correct Post ballot card</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.3072492908260807</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.198594847775152</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V162027/0 in V162026b/-8,-9 in V162022/2 in V161016 and did not vote in Pre/Web mode/reported voting</labl><catStat type="freq">2689</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have Ballot Card in wrong color for R's district</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have [yellow/green] color Ballot Card for R's district</labl><catStat type="freq">735</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Only have card(s) for wrong district or have no ballot cards</labl><catStat type="freq">206</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O9M4aD7VF0twZJ8hp3/j7A==</notes></var><var ID="v35512887" name="V162033a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF ONLY: IWR error at Ballot Card checkpoint</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.1381448936748577</sumStat><sumStat type="mean">-1.331615925058551</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Ballot card not used, names not applicable for use</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Ballot card used, names applicable for use</labl><catStat type="freq">753</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Ballot card not used as IWR error</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2 in V162027/0 in V162026b/ -8,-9 in V162022/2 in V161016 and did not vote in Pre/Web mode/reported votin</labl><catStat type="freq">2689</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GE0CTwAkl74Zn1i1yAls7A==</notes></var><var ID="v35513674" name="V162033x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY - administration of Post vote module</labl><sumStat type="stdev">2.7909383616718126</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.23723653395785038</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Not used (open-end responses) - R voted</labl><catStat type="freq">289</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Used Ballot Card/preload names - R did not vote</labl><catStat type="freq">680</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Used Ballot Card/preload names - R voted</labl><catStat type="freq">2442</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, R reported voting in Pre</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, R reported voting in Pre</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not used (open-end responses) - R did not vote</labl><catStat type="freq">106</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dXDhZDpSOHosCZeHfKyc6Q==</notes></var><var ID="v35513109" name="V162034" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R vote for President</labl><sumStat type="mean">-0.46252927400468696</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.488742735560284</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted for President</labl><catStat type="freq">2691</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,3,-8,-9 in V162031/3 in V162022/FTF: -8,-9 in V162022/WEB: -9 in V162022a/4 in V161024x</labl><catStat type="freq">917</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote for President</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MSkW23ghpadUQZARB1yjIA==</notes></var><var ID="v35514241" name="V162034a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: For whom did R vote for President</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8997028271782344</sumStat><sumStat type="mean">-0.14683840749414082</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">1290</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162034/1,2,3,-8,-9 in V162031/3 in V162022/FTF: -8,-9 in V162022/WEB: -9 in V162022a/4 in V16 </labl><catStat type="freq">957</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Jill Steiin</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other specify given as: none</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Other specify given as: RF</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">1178</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate SPECIFY</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:n33uYRxmRT4mV8nyD7PCMA==</notes></var><var ID="v35514139" name="V162035" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Preference strong for Pres cand for whom R voted</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.3259953161592449</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.6179468941289032</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162034/1,2,3,-8,-9 in V162031/3 in V162022/FTF: -8,-9 in V162022/WEB: -9 in V162022a/4 in V16 </labl><catStat type="freq">985</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">1883</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strong</labl><catStat type="freq">777</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hbwALNPBCMXHp16rP69QdQ==</notes></var><var ID="v35513002" name="V162036" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Text- How long before election R made decision Pres vote</labl><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open-end response available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35514023" name="V162036a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Code- How long before election R made decision Pres vote</labl><sumStat type="min">-7.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">13.434247946817994</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.920374707259954</sumStat><catgry><catValu>99</catValu><labl level="category">99. Not answered; The answer recorded by the interviewer is uninterpretable</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. More than 3 months/less than 6 months; few months/several months; during convention; when she/he was nominated; summe</labl><catStat type="freq">502</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. More than one month/less than two months</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Six months</labl><catStat type="freq">254</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. That day; when I walked into the booth</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. One day</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Two to three months; a couple of months; after the convention; after she/he was nominated</labl><catStat type="freq">301</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Other; the answer does not mention a time frame or a specific event</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. More than one day/less than one week; a few days; a couple of days</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. One month</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>97</catValu><labl level="category">97. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Specific event; the answer mentions an event other than the convention, nomination, primaries, or caucuses</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. More than one week/less than one month; a few weeks; a couple of weeks</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>96</catValu><labl level="category">96. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. More than six months; during the primaries; during the caucuses; all the time</labl><catStat type="freq">638</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Longer than a week [response to probe]</labl><catStat type="freq">127</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. One week</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">957</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pPFkQdOC5KxBmupsDl4eWA==</notes></var><var ID="v35513791" name="V162037" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R prefer Pres cand (did not vote)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.3140515222482472</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.209132480709629</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">482</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 4 in V162031 or V161024x</labl><catStat type="freq">2862</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:liYfNm7hw9o/r2iPhVR8TA==</notes></var><var ID="v35513409" name="V162037a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Preference for Pres cand (did not vote)</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.4362997658079588</sumStat><sumStat type="max">9.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.1583035997611897</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Other specify given as: RF</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate SPECIFY</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">219</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162037/4 in V162031 or V161024x</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Jill Stein</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wDdF2olJvR5WtIIDjkJdAg==</notes></var><var ID="v35513414" name="V162038" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Preference strong for Pres cand (did not vote)</labl><sumStat type="stdev">2.0644729198978333</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.4861826697892249</sumStat><catgry><catValu>2</catValu><labl level="category">2. Not strong</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong</labl><catStat type="freq">326</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V162037a/4 in V162031 or V161024x</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WR56xiKA6xNhk275TbJyOg==</notes></var><var ID="v35513985" name="V162038x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Preference for Pres cand (did not vote)</labl><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.32646370023420024</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">7.474245772758621</sumStat><sumStat type="max">51.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>30</catValu><labl level="category">30. Prefer Gary Johnson - not strong preference</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Prefer Hillary Clinton - strong preference</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Prefer Gary Johnson - strong preference</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Prefer other candidate - not strong preference</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Prefer other candidate - strong preference</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Prefer Hillary Clinton - not strong preference</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Prefer Jill Stein - not strong preference</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, -8,-9 in V162038/-8,-9 in V162037a/4 in V162031 or V161024x</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Prefer Donald Trump - strong preference</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V162038/-8,-9 in V162037a/4 in V162031 or V161024x</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Prefer Jill Stein - strong preference</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Prefer Donald Trump - not strong preference</labl><catStat type="freq">63</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SD8s9aFEfVT4Z05/azPSdA==</notes></var><var ID="v35512888" name="V162039" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R vote for U.S. House of Representatives</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.570775138885591</sumStat><sumStat type="mean">-0.4079625292740026</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2365</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 1,2,3,-8,-9 in V162031/1,3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 in V162022a/4 in V161024x</labl><catStat type="freq">917</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB other specify DK)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">356</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:21/GZpGJcwfb5fT/YT11fg==</notes></var><var ID="v35513830" name="V162040" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: For whom did R vote for U.S. House (ballot card)</labl><sumStat type="stdev">2.832755226009888</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.6002341920374697</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican House candidate</labl><catStat type="freq">1020</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent House candidate</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162039/2,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">1521</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic House candidate</labl><catStat type="freq">983</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R VOL: names on ballot card are not correct {VOTE RECORDED ON NEXT SCREEN} {VOLUNTEERED}</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VPBi2VfQwP9ouJ5uTtMiaA==</notes></var><var ID="v35513113" name="V162041" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: For whom did R vote for U.S. House (no ballot card)</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.6121779859484655</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.9907120211304</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162039/1-3,5,-8,-9 in V162040/1,2,4 in V162033x/4 in V161024x</labl><catStat type="freq">3399</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dCBynA3zOQBoyQMubcAmXw==</notes></var><var ID="v35512795" name="V162042" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R prefer U.S. House candidate</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.310810953376744</sumStat><sumStat type="mean">-1.234192037470724</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 4 in V162031/4 in V161024x</labl><catStat type="freq">2862</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">651</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9o66hkFaRqYfRjznPUes9g==</notes></var><var ID="v35512862" name="V162043" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for U.S. House (ballot card)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.6784543325526964</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.9141517694858443</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. R VOL: names on ballot card are not correct {VOTE RECORDED ON NEXT SCREEN} {VOLUNTEERED}</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican House candidate</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic House candidate</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent House candidate</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162042/1,3,4 in V162033x/4 in V162031/4 in V161024x</labl><catStat type="freq">3526</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EzI+d9rY425qGnVWVNigJA==</notes></var><var ID="v35514067" name="V162044" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for U.S. House (no ballot card)</labl><sumStat type="stdev">1.825618674964038</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.7416861826697871</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162042/1-3,5,-8,-9 in V162043/1,2,3 in V162033x/ 4 in V161024x</labl><catStat type="freq">3637</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jeDCXZDtWEgLuFFEWnZUSg==</notes></var><var ID="v35513318" name="V162045x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST SUMMARY: Senate and Governor races</labl><sumStat type="stdev">10.25288416037331</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">11.0</sumStat><sumStat type="mean">7.952224824355959</sumStat><sumStat type="max">31.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">00. No Senate/Governor race- samp address state (R not registered)</labl><catStat type="freq">106</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Senate and Governor races- registration state (R registered)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Governor race- registration state (R registered)</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Senate and Governor races- samp address state (R not registered)</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 4 in V161024x</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Senate race- sample address state (R not registered)</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, 4 in V161024x</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. No Senate/Governor race- registration state (R registered)</labl><catStat type="freq">868</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Senate race- registration state (R registered)</labl><catStat type="freq">1857</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Governor race- samp address state (R not registered)</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yFwAOZ88md0fyqrx2e8Ymg==</notes></var><var ID="v35513533" name="V162046" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R vote for U.S. Senate</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.7941451990632337</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.4430766419744487</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1793</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 4 in V162031 and 01,21 in V162045x/1,2,3,-8,-9 in V162031/1,3 in V162022/FTF: -8,-9 in V162022/WEB: 2,-9 i</labl><catStat type="freq">1668</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cGOYo1nFQ11IfNj+NtKsSQ==</notes></var><var ID="v35512933" name="V162047" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R's vote for U.S. Senate (ballot card)</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.5887411949718104</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.8524590163934433</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162046/01,21 in V162045x/4 in V162040/2,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">2047</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">834</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent Senate candidate</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">678</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UECHNURitpGlc1q1sOcxyg==</notes></var><var ID="v35514402" name="V162048" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R's vote for U.S. Senate (no ballot card)</labl><sumStat type="stdev">1.9500421904998895</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.6498829039812646</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162046/01,21 in V162045x/1-3,5,-8,-9 in V162040/1,2,4 in V162033x/4 in V161024x</labl><catStat type="freq">3456</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">97</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wuSzrprkH5W0mv3a7mU9bw==</notes></var><var ID="v35512845" name="V162049" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R prefer U.S. Senate candidate</labl><sumStat type="min">-8.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.167138736040203</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.4159250585480112</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 00,01,20,21 in V162045x/10,11,30,31 in V162045x and 4 in V162031/4 in V161024x</labl><catStat type="freq">3120</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">124</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UzEqs/OWuIOip+95YeIZcQ==</notes></var><var ID="v35514080" name="V162050" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for U.S. Senate (ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.9010371494536173</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.6833723653395816</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican Senate candidate</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162049/2 in V162033x and 00,01,20,21 in V162045x/4 in V162043/1,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">3533</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic Senate candidate</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent Senate candidate</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zUnLr8PzuhNBLX/QnZA+1A==</notes></var><var ID="v35513810" name="V162051" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for U.S. Senate (no ballot card)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.822481525915841</sumStat><sumStat type="mean">-1.7440281030444964</sumStat><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162049/4 in V162033x and 00,01,20,21 in V162045x/1,2,3 in V162033x/1-3,5,-8,-9 in V162043/4 in</labl><catStat type="freq">3640</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rvi3PWLfk7pkeE+3WpYWyA==</notes></var><var ID="v35513411" name="V162052" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R vote for governor</labl><sumStat type="mean">-1.5637002341920392</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.9861415817684227</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 00,01,10,11 in V162045x/1,2,3,-8,-9 in V162031/3 in V162022/FTF: -8,-9 in V162022/WEB: -9 in V162022a/ 4 </labl><catStat type="freq">3259</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:438hdZpEu2T5QOCYHWT2CQ==</notes></var><var ID="v35512898" name="V162053" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R's vote for governor(ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">2.0113182649436414</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.5744730679156889</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent gubernatorial candidate</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican gubernatorial candidate</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162052/01,11 in V162045x/4 in V162040/2,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">3324</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic gubernatorial candidate</labl><catStat type="freq">190</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/wCPNqb/Biz1MiAYDGPoHg==</notes></var><var ID="v35513653" name="V162054" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R's vote for governor (no ballot card)</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.844217788609961</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.7238875878220157</sumStat><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162052/01,11 in V162045x/1-3,5,-8,-9 in V162040/1,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">3604</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Fjwfy4TKAyE7KtCaHIiRLw==</notes></var><var ID="v35512910" name="V162055" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R prefer gubernatorial candidate</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.686885245901642</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.8867171143580204</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 00,01,10,11 in V162045x/20,21,30,31 in V162045x and 4 in V162031/4 in V161024x</labl><catStat type="freq">3548</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9/9iflgRNlraqcf4Zyb38g==</notes></var><var ID="v35513226" name="V162056" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for governor (ballot card)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.7288056206088969</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">1.8447571152859352</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic gubernatorial candidate</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Independent gubernatorial candidate</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF or WEB given as other specify)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate {SPECIFY}</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican gubernatorial candidate</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, 2,-8,-9 in V162055/2 in V162033x and 00,01,10,11 in V162045x/4 in V162043/1,3,4 in V162033x/4 in V161024x</labl><catStat type="freq">3613</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uMCN/wKo/uc2Bm3DSFXv/w==</notes></var><var ID="v35513462" name="V162057" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Whom does R prefer for governor (no ballot card)</labl><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.7470725995316154</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.8189831106104812</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 2,-8,-9 in V162055/4 in V162033x and 00,01,10,11 in V162045x/1-3,5,-8,-9 in V162043/1,2,3 in V162033x/4 in</labl><catStat type="freq">3645</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other mention, party not given, or other party mention</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Candidate/party mentioned as Democratic</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Candidate/party mentioned as Republican</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mjeU0+U+11wQAuFGPrEHUg==</notes></var><var ID="v35512647" name="V162058x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY -Post-election Presidential vote/pref</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">8.88407494145198</sumStat><sumStat type="medn">10.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">10.122482706730276</sumStat><sumStat type="max">32.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic Presidential candidate: preference (nonvoter)</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference</labl><catStat type="freq">515</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic Presidential candidate: voted for candidate</labl><catStat type="freq">1290</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican Presidential candidate: voted for candidate</labl><catStat type="freq">1178</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other Presidential candidate: voted for candidate</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican Presidential candidate: preference (nonvoter)</labl><catStat type="freq">219</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other Presidential candidate: preference (nonvoter)</labl><catStat type="freq">43</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o5v7uz8r5g4Fh540gVrdlw==</notes></var><var ID="v35512592" name="V162059x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY - party of Post-election U.S. House vote/preference</labl><sumStat type="medn">10.0</sumStat><sumStat type="stdev">8.286583329134597</sumStat><sumStat type="max">32.0</sumStat><sumStat type="mean">5.136533957845426</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Other House candidate: voted for candidate</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference</labl><catStat type="freq">1221</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican House candidate: preference (nonvoter)</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other House candidate: preference (nonvoter)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican House candidate: voted for candidate</labl><catStat type="freq">1134</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic House candidate: voted for candidate</labl><catStat type="freq">1099</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic House candidate: preference (nonvoter)</labl><catStat type="freq">57</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m1yQRHWa9yDOmC3+dyZX/A==</notes></var><var ID="v35513272" name="V162060x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY - party of Post-election U.S. Senate vote/preference</labl><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">8.201562455361293</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">3.488758782201408</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">32.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other Senate candidate: preference (nonvoter)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican Senate candidate: preference (nonvoter)</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican Senate candidate: voted for candidate</labl><catStat type="freq">763</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic Senate candidate: voted for candidate</labl><catStat type="freq">931</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Democratic Senate candidate: preference (nonvoter)</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other Senate candidate: voted for candidate</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference/no sen race in state</labl><catStat type="freq">1763</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference/no Senate race in state</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:opr1BKD2E6DjgsMsuc2N0A==</notes></var><var ID="v35513738" name="V162061x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY - party of Post-election gubernatorial vote/pref</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-1.262529274004683</sumStat><sumStat type="max">31.0</sumStat><sumStat type="stdev">4.933493141349376</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>30</catValu><labl level="category">30. Democratic gubernatorial candidate: preference (nonvoter)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Republican gubernatorial candidate: preference (nonvoter)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Other gubernatorial candidate: voted for candidate</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other gubernatorial candidate: preference (nonvoter)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference/no gov race in state</labl><catStat type="freq">3247</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Republican gubernatorial candidate: voted for candidate</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, no vote/intent/preference/no governor race in state</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Democratic gubernatorial candidate: voted for candidate</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gO0tSkQMi9SJeYwEh4u+zQ==</notes></var><var ID="v35514274" name="V162062x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: 2016 Presidential vote</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.9996070218238577</sumStat><sumStat type="mean">0.33934426229508147</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Jill Stein</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, no vote for President in Post/no Post and no vote for President in Pre</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know (FTF only)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hillary Clinton</labl><catStat type="freq">1364</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Donald Trump</labl><catStat type="freq">1245</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other candidate SPECIFY</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote for Pres in Post/no Post and no vote for Pres in pre</labl><catStat type="freq">1426</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CGXRNZFA5sPsZO1Ms8hQaw==</notes></var><var ID="v35513588" name="V162063x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: 2016 Pre intent vote for Pres - Post vote for Pres</labl><sumStat type="medn">11.0</sumStat><sumStat type="stdev">8.327507076146125</sumStat><sumStat type="max">32.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">13.403747072599531</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>11</catValu><labl level="category">11. Rep Pres candidate: voted for candidate</labl><catStat type="freq">1245</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Rep Pres candidate: intended to vote for candidate</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dem Pres candidate: intended to vote for candidate</labl><catStat type="freq">263</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Oth Pres candidate: preference (no intent to vote/nonvoter)</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Oth Pres candidate: intended to vote for candidate</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Rep Pres candidate: preference (no intent to vote/nonvoter)</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Dem Pres candidate: voted for candidate</labl><catStat type="freq">1364</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Oth Pres candidate: voted for candidate</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Dem Pres candidate: preference (no intent to vote/nonvoter)</labl><catStat type="freq">239</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Uv8Q01a8tueLNeHL1rkL+w==</notes></var><var ID="v35514201" name="V162064x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST NONVOTER SUMMARY: 2016 Pre pref for Pres - Post pref for Pres</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-1.4037470725995318</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">1.7341417502444518</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Johnson (not strong)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Stein (strong)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Johnson (strong)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Trump (strong)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Other (strong)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Clinton (not strong)</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton (strong)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stein (not strong)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Other (not strong)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote/intent/preference</labl><catStat type="freq">3729</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Trump (not strong)</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RvIcqRAFor4eyykoa7R/tw==</notes></var><var ID="v35512751" name="V162065x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST REG/TURNOUT SUMMARY: 2016 registration - turnout status</labl><sumStat type="mean">1.0540983606557373</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.502438345999502</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Registered but did not vote</labl><catStat type="freq">445</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Did not register and did not vote</labl><catStat type="freq">341</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Registered and voted</labl><catStat type="freq">2756</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inap</labl><catStat type="freq">728</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DqMZMEavSdFMXvljbIN2mg==</notes></var><var ID="v35513000" name="V162066x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: 2016 Presidential vote w/strength</labl><sumStat type="stdev">11.019834592006847</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">10.537470725995323</sumStat><sumStat type="max">51.0</sumStat><sumStat type="medn">11.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Missing, -8,-9 in V162035 or V162034a/missing in V162062x</labl><catStat type="freq">1462</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Voted for Jill Stein - strong preference</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Voted for Donald Trump - strong preference</labl><catStat type="freq">910</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Voted for Hillary Clinton - not strong preference</labl><catStat type="freq">363</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Voted for other candidate - strong preference</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Voted for other candidate - not strong preference</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, -8,-9 in V162035 or V162034a/missing in V162062x</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Voted for Jill Stein - not strong preference</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Voted for Gary Johnson - not strong preference</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Voted for Donald Trump - not strong preference</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Voted for Gary Johnson - strong preference</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Voted for Hillary Clinton - strong preference</labl><catStat type="freq">999</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ArCBBo9iDN+5FKYCMmp+Sg==</notes></var><var ID="v35513329" name="V162067x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: party of 2016 U.S. House vote</labl><sumStat type="stdev">1.8086160339027384</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.012880562060888513</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote for House in Post/no Post and no vote for House in Pre</labl><catStat type="freq">1850</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Voted for Republican House candidate</labl><catStat type="freq">1195</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Voted for Democratic House candidate</labl><catStat type="freq">1155</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Voted for other House candidate</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, no vote for House in Post/no Post and no vote for House in Pre</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Mw4g0vclmxxSStggK8hrQw==</notes></var><var ID="v35513725" name="V162068x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: party of 2016 U.S. Senate vote</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.472599531615925</sumStat><sumStat type="stdev">1.7850196595841177</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Voted for Democratic Senate candidate</labl><catStat type="freq">973</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Voted for other House candidate</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Voted for Republican Senate candidate</labl><catStat type="freq">802</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote for Sen in Post/no Post and no vote for Sen in Pre/no Sen race</labl><catStat type="freq">2416</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, no vote for Senate in Post/no Post and no vote for Senate in Pre/no Senate race in state of reg</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UYt4E6lu4kJ9hqj0uEb3og==</notes></var><var ID="v35513457" name="V162069x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">2016 PRE-POST VOTE SUMMARY: party of 2016 Governor vote</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.7009367681498828</sumStat><sumStat type="stdev">0.9765457805429759</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Missing, no vote for Gov in Post/no Post and no vote for Gov in Pre/no Gov race</labl><catStat type="freq">3896</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Voted for other gubernatorial candidate</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Voted for Democratic gubernatorial candidate</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Voted for Republican gubernatorial candidate</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, no vote for Senate in Post/no Post and no vote for Senate in Pre/no Governor race in state of reg</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wD50XAu2ZPH5G2djxrSQng==</notes></var><var ID="v35514053" name="V162070a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - didn't meet registration deadline</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.6550351288056233</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.886127354764474</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">275</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GGy04Lk3466US/JyiLC60w==</notes></var><var ID="v35514357" name="V162070b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - didn't know where/how to register</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.6620608899297407</sumStat><sumStat type="stdev">1.8780677325639121</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">305</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XH8O9wdr4WIiOrQh2ebICA==</notes></var><var ID="v35514060" name="V162070c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - didn't have required ID</labl><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.6686182669789267</sumStat><sumStat type="stdev">1.870490272593711</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">333</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J+kJOiqDcf7/YP3ocy7PSA==</notes></var><var ID="v35513917" name="V162070d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - didn't meet residency requirements</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.8734735247974643</sumStat><sumStat type="mean">-1.666042154566743</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">322</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rZtC6BTvNDThCSMBj9QRHg==</notes></var><var ID="v35514349" name="V162070e" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - permanent illness/disability</labl><sumStat type="mean">-1.6674473067915678</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.8718473253393533</sumStat><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">328</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aafmL+k89RNo3AD7cn1DZg==</notes></var><var ID="v35514367" name="V162070f" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - difficulty w/English</labl><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8702186558829814</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.6688524590163905</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NMQRawNLCpctbf9PDmG5RQ==</notes></var><var ID="v35514211" name="V162070g" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - not interested in election/politics</labl><sumStat type="mean">-1.6437939110070212</sumStat><sumStat type="stdev">1.898897520054872</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">227</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bFSd/5f6rKRvr2e+iM7FDQ==</notes></var><var ID="v35514194" name="V162070h" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - thought vote wouldn't make a difference</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-1.6494145199063244</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8925315568506407</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:93CR5tFU8zjz/gCFJkTmBg==</notes></var><var ID="v35513121" name="V162070i" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - not eligible to vote</labl><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8756379596247417</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.6641686182669793</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">314</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MjnWgPoHElUGmkjUq4ooWg==</notes></var><var ID="v35513655" name="V162070j" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Reason R not registered to vote - other reasons</labl><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.654566744730678</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8866625082713682</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mentioned</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not mentioned</labl><catStat type="freq">273</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3311</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:j+Top+APb1pdtLUiwNwJag==</notes></var><var ID="v35514142" name="V162071" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Other reason why R not registered</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Redacted text of open end available in separate file</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513945" name="V162072" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: Vice-President Biden</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.4970944345048625</sumStat><sumStat type="mean">-0.14496487119438126</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">449</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3199</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yWs2kT0eU43JAcX/UjK1RQ==</notes></var><var ID="v35514206" name="V162073a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: Speaker of the House Ryan</labl><sumStat type="medn">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.41615925058547965</sumStat><sumStat type="stdev">2.4108117626260417</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">2041</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1607</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zvhem361o/HPVgNXM9CdNg==</notes></var><var ID="v35513242" name="V162073b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: Speaker of the House Ryan [Scheme 2]</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.415819078382839</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.39250585480094036</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1983</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1347</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:14vznmG1IqUdhZy1hBrrDA==</notes></var><var ID="v35514217" name="V162074a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: Chancellor of Germany Merkel</labl><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.3701864679177893</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.5166276346604226</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2036</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1612</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:img2ZmKd0TU8aGAreY9YkQ==</notes></var><var ID="v35513119" name="V162074b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: Chancellor of Germany Merkel [Scheme 2]</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.3340875076177756</sumStat><sumStat type="mean">-0.5969555035128852</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2379</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">1269</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yKvkMv9kRKxgHurwqr+ykg==</notes></var><var ID="v35513787" name="V162075a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: President of Russia Putin</labl><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.490738028839211</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.16908665105386095</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">3096</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">552</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UPcx75szytAIvzSp7JKvQA==</notes></var><var ID="v35512789" name="V162075b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: President of Russia Putin [Scheme 2]</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.31288056206089243</sumStat><sumStat type="stdev">2.4475759741498657</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">1166</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">2482</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fAarfFNIRhSPZlAkuwEjIw==</notes></var><var ID="v35513088" name="V162076a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: US Supreme Ct Chief Justice Roberts</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.6083138173302091</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">2.3223558758556817</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">968</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2175</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RlrUlWM9BW3E+tPmmIBR2A==</notes></var><var ID="v35514328" name="V162076b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Office recall: US Supreme Ct Chief Justice Roberts [Scheme 2]</labl><sumStat type="mean">-0.6784543325526958</sumStat><sumStat type="stdev">2.2940091142996604</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not correct</labl><catStat type="freq">2727</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Correct</labl><catStat type="freq">921</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IVoxyrRiVeEApIPMtvU+6A==</notes></var><var ID="v35513540" name="V162078" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Democratic Presidential candidate</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">39.15994996283576</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">998.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">36.445199063231826</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S6XNmW/1+pOcAoDHmKquUw==</notes></var><var ID="v35513456" name="V162079" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Republican Presidential candidate</labl><sumStat type="stdev">42.040777558542615</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">998.0</sumStat><sumStat type="medn">30.0</sumStat><sumStat type="mean">35.34871194379377</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zKWM1TSpltYvw7YW71rVQQ==</notes></var><var ID="v35514086" name="V162080" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Libertarian Presidential candidate</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mean">100.67658079625437</sumStat><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">249.74616035930453</sumStat><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">277</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">326</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aDXEek1I2dVJeDKf1lCBXg==</notes></var><var ID="v35513313" name="V162081" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Green Party Presidential candidate</labl><sumStat type="mean">91.70281030445372</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="stdev">234.99090948276773</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">330</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sbOuPiKODjXJY63NmlVdoQ==</notes></var><var ID="v35513690" name="V162082" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: HOUSE DEMOCRATIC CANDIDATE</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">245.8931092319249</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">102.29437939110332</sumStat><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">50.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">266</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">28</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1Ky+7z6EQXY4l0s4JeKfcQ==</notes></var><var ID="v35512828" name="V162083" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: HOUSE REPUBLICAN CANDIDATE</labl><sumStat type="medn">50.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">248.3182730409403</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">104.50444964870799</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">278</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">571</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IHgSCDEC6zIETHVGPUsFKA==</notes></var><var ID="v35514291" name="V162084" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: HOUSE IND/3rd-PARTY CANDIDATE</labl><sumStat type="mean">13.565918249856146</sumStat><sumStat type="invd">2533.0</sumStat><sumStat type="vald">1737.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">117.371021235158</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">999</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">23</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Q7iCVRvhUGK5/ky1lCNiPw==</notes></var><var ID="v35513426" name="V162085" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: SENATE DEMOCRATIC CANDIDATE</labl><sumStat type="stdev">184.0725445132059</sumStat><sumStat type="medn">15.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">63.29344262295286</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1253</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uS8Q8mfKGbA1wM/FIbgJ+A==</notes></var><var ID="v35514082" name="V162086" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: SENATE REPUBLICAN CANDIDATE</labl><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">149.59672447150086</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">45.221077283372544</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1578</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fVMVC5v9CmSrJtTDEJWlGg==</notes></var><var ID="v35513815" name="V162087" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: SENATE IND/3rd-PARTY CANDIDATE</labl><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">77.39274517123341</sumStat><sumStat type="mean">7.607259953161493</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3326</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EM3zB53RRT7Fi6ffTypMeA==</notes></var><var ID="v35513577" name="V162088" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: SR. SENATOR IN STATE WITHOUT RACE</labl><sumStat type="mean">23.485948477750835</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">118.22562674255462</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2677</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cEq9dBIB2B5Nb2WN5kdsOQ==</notes></var><var ID="v35513698" name="V162089" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: JR. SENATOR IN STATE WITHOUT RACE</labl><sumStat type="mean">20.64730679156889</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">110.25482190836392</sumStat><sumStat type="max">999.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2754</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w6oJAvzORJzJRgBkjWFQ5Q==</notes></var><var ID="v35513600" name="V162090" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: NONRUNNING SENATOR IN STATE W/RACE</labl><sumStat type="mode">.</sumStat><sumStat type="medn">15.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">182.46073022055373</sumStat><sumStat type="mean">61.51709601873313</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1265</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8on8bezE1kWhH+36PL7PPw==</notes></var><var ID="v35513896" name="V162091" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Democratic Vice Presidential cand</labl><sumStat type="mode">.</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">205.0743717886773</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">79.95620608899463</sumStat><sumStat type="max">999.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Programming error</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L4x/2EAaK3yca+gaW2S3bA==</notes></var><var ID="v35513248" name="V162092" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Republican Vice Presidential cand</labl><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">161.13318520482235</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">67.53747072599559</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KrsmwS256t2KcSDflhktRA==</notes></var><var ID="v35512916" name="V162093" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: John Roberts</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">83.38079625292951</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">999.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="stdev">199.6922009716524</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">136</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IYErolATBOdvS2HWBLDk3w==</notes></var><var ID="v35512661" name="V162094" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: Pope Francis</labl><sumStat type="stdev">134.19302460855144</sumStat><sumStat type="medn">70.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">75.5243559718977</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qTVUqj6XG9uE0kB1KXrCHw==</notes></var><var ID="v35513051" name="V162095" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: CHRISTIAN FUNDAMENTALISTS</labl><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">105.17812915377046</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">51.29695550351265</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">24</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JDwyOlzloITBr9Y8RCREGA==</notes></var><var ID="v35513461" name="V162096" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: FEMINISTS</labl><sumStat type="mean">52.54355971896976</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">83.57701929143502</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ln1rfMR8YXdG4u/ALUy/dw==</notes></var><var ID="v35512901" name="V162097" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: LIBERALS</labl><sumStat type="stdev">72.73609280153798</sumStat><sumStat type="max">999.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">46.95901639344272</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WVDmp5K127YANhBkpVsmWQ==</notes></var><var ID="v35514363" name="V162098" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: LABOR UNIONS</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">59.62082401564848</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mean">49.6145199063233</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">38</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KvdXPClo1KehY5Tw0VV3Bw==</notes></var><var ID="v35512609" name="V162099" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: POOR PEOPLE</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">61.04262295081975</sumStat><sumStat type="stdev">46.672416009549075</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">70.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:haW5F5lFBD4SxKbs0VM1gQ==</notes></var><var ID="v35513910" name="V162100" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: BIG BUSINESS</labl><sumStat type="max">999.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mean">43.49063231850129</sumStat><sumStat type="stdev">54.50666139258715</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LyM4AZyfjln0QlO/VOX/ng==</notes></var><var ID="v35513135" name="V162101" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: CONSERVATIVES</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="stdev">71.04251857073494</sumStat><sumStat type="mean">50.760655737704695</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mmUR87GMXbWVZKrL7IcDcg==</notes></var><var ID="v35512965" name="V162102" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: THE U.S. SUPREME COURT</labl><sumStat type="stdev">46.21655869138237</sumStat><sumStat type="mean">50.17096018735369</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">998.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">51.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ghIWIqzPsAqM53balJ9auA==</notes></var><var ID="v35513393" name="V162103" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: GAY MEN AND LESBIANS</labl><sumStat type="stdev">57.61928798625179</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">52.53372365339562</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">40</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2DJnHfJj6eKq1RMu3aQtWg==</notes></var><var ID="v35513406" name="V162104" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: CONGRESS</labl><sumStat type="mode">.</sumStat><sumStat type="medn">40.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">45.04285338424988</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">36.61850117096006</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3xLD1GwPk8CLbWczRz34wA==</notes></var><var ID="v35513686" name="V162105" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: RICH PEOPLE</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">46.49367681498802</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="max">998.0</sumStat><sumStat type="stdev">52.3343292370855</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mcpeOnIFWm/qwCUxG0ssEQ==</notes></var><var ID="v35512623" name="V162106" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: MUSLIMS</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">69.61721148925915</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">48.85737704918037</sumStat><sumStat type="max">999.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W9VnALyqJ2izU1zOIv1Hdg==</notes></var><var ID="v35514058" name="V162107" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: CHRISTIANS</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">64.37892271662754</sumStat><sumStat type="stdev">50.542229473861454</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">70.0</sumStat><sumStat type="max">998.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Od0OXYG4/L9iOlliBFsyFg==</notes></var><var ID="v35513934" name="V162108" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: JEWS</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">72.6881954804774</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="medn">67.0</sumStat><sumStat type="mean">63.440515222482254</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">43</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tDBvrjZORe8yoqMFOq278w==</notes></var><var ID="v35513981" name="V162109" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: TEA PARTY</labl><sumStat type="max">999.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">109.85802479402695</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">47.7339578454328</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5BFDYFwphbIx1xUtpIFmmA==</notes></var><var ID="v35513324" name="V162110" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: POLICE</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">71.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">64.4346604215458</sumStat><sumStat type="stdev">47.914089370856196</sumStat><sumStat type="max">999.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AOjbBvybGWp1MPacaWqAVQ==</notes></var><var ID="v35513415" name="V162111" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: TRANSGENDER PEOPLE</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">999.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">50.0</sumStat><sumStat type="mean">51.79625292740026</sumStat><sumStat type="stdev">82.591653894652</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7x/sS4M6sXrrg3P0VGkuSw==</notes></var><var ID="v35514380" name="V162112" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: SCIENTISTS</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">45.0156336462201</sumStat><sumStat type="mean">64.91030444964869</sumStat><sumStat type="medn">70.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">999.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7WTvPFxHNV1ezAkX7IL1qQ==</notes></var><var ID="v35513454" name="V162113" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Feeling thermometer: BLACK LIVES MATTER</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">42.5</sumStat><sumStat type="max">999.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">88.75661320546455</sumStat><sumStat type="mean">46.927634660421795</sumStat><catgry><catValu>998</catValu><labl level="category">998. Don't know (where to rate)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>999</catValu><labl level="category">999. Don't recognize (don't know who this is)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rug6f6xJ5gnJitOB5bxRAA==</notes></var><var ID="v35513954" name="V162114" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Approve or disapprove of House incumbent</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.6367681498829066</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.555919034249338</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve</labl><catStat type="freq">2319</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Disapprove</labl><catStat type="freq">953</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uycfFMC82MMAfUcAaa4rBw==</notes></var><var ID="v35513311" name="V162114a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much approve House incumbent</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.3395784543325522</sumStat><sumStat type="stdev">2.7236938407285147</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">833</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">1473</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1329</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Bify28sHlEkoRjlcONFbZQ==</notes></var><var ID="v35512994" name="V162114b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much disapprove House incumbent</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.338370720481236</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.177283372365341</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2694</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">354</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1SRipiQCNoGKVQwkRTNCaQ==</notes></var><var ID="v35513817" name="V162114x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- House incumbent approval</labl><sumStat type="stdev">4.199849996497143</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.19789227166274964</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disapprove not strongly</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Approve not strongly</labl><catStat type="freq">1473</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Approve strongly</labl><catStat type="freq">833</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disapprove strongly</labl><catStat type="freq">354</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2T6ojiYN5gzt3yOP0IZhQA==</notes></var><var ID="v35513613" name="V162115" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How good a job does House incumbent do in district</labl><sumStat type="max">4.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.693318964212385</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.6573770491803294</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very good</labl><catStat type="freq">378</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">106</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Very poor</labl><catStat type="freq">385</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Fairly poor</labl><catStat type="freq">1009</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly good</labl><catStat type="freq">1678</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ut1BnPadpAU2x5ibkytJEA==</notes></var><var ID="v35513186" name="V162116a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Mention 1 most important problems facing the country</labl><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513634" name="V162116a_1" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 1</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">61.74473067915673</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">32.0</sumStat><sumStat type="stdev">151.85276597322047</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">271</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">312</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ivwYEICoVoB6ceO4H//oiw==</notes></var><var ID="v35513101" name="V162116a_2" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 2</labl><sumStat type="mean">20.789461358313726</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">94.25895676968699</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">800.0</sumStat><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">2266</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WDSRUflrqETZj+uJDCglkQ==</notes></var><var ID="v35512998" name="V162116a_3" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 3</labl><sumStat type="mean">7.883372365339582</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">65.96033987914835</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">800.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3133</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e9/MumKio+zN9/WFYJ2c0w==</notes></var><var ID="v35512930" name="V162116a_4" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 4</labl><sumStat type="max">800.0</sumStat><sumStat type="mean">2.383138173302126</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">46.580501013972835</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3460</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qhYqxkNMj+JvQ87ZTPrkZw==</notes></var><var ID="v35513831" name="V162116a_5" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 5</labl><sumStat type="mean">0.050117096018722024</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">30.631539845331975</sumStat><sumStat type="max">800.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3568</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/vwHNauJkOWlMseRiBa8+Q==</notes></var><var ID="v35513104" name="V162116a_6" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 6</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">12.925849757478053</sumStat><sumStat type="mean">-1.296252927400464</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">800.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3617</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x/GiaeupiB4U/lBiA3Viyw==</notes></var><var ID="v35514414" name="V162116a_7" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 7</labl><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.0822014051522344</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">21.42982329866581</sumStat><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3632</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WO0gszH75OrW93zODz1E9g==</notes></var><var ID="v35514072" name="V162116a_8" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 8</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">12.497734256324419</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">800.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.4969555035128816</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3638</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8CgwKoy4xvQJRaWeiHmAvA==</notes></var><var ID="v35514158" name="V162116a_9" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 9</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-1.7173302107728312</sumStat><sumStat type="max">79.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.2756730096502125</sumStat><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3645</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PI4neahvcBQQOi7dxg5lNQ==</notes></var><var ID="v35514167" name="V162116a_10" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 1, Idea 10</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-1.5494145199063163</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="stdev">12.426491034946904</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3646</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TRkf/3g5VJE0S7tuMX7Pmw==</notes></var><var ID="v35513458" name="V162117" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party to deal with mention 1 MIP</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.7840749414519907</sumStat><sumStat type="stdev">3.0185231658220393</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">1065</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Wouldn't be much difference</labl><catStat type="freq">1223</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">1290</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bpr5H1xh1SVKE470qbLtpg==</notes></var><var ID="v35513531" name="V162118a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Mention 2 most important problems facing the country</labl><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513309" name="V162118a_1" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 1</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">142.7024693399592</sumStat><sumStat type="mean">50.842154566744945</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">27.0</sumStat><sumStat type="max">800.0</sumStat><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:B9SXcW810/KXySgAop4VUA==</notes></var><var ID="v35512706" name="V162118a_2" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 2</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">13.856440281030485</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">82.11275092566382</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">2730</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gsUvLsgG5VJGCNWOEUn8cQ==</notes></var><var ID="v35513809" name="V162118a_3" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 3</labl><sumStat type="stdev">45.21902730282063</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.754800936768155</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3397</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PBDky6FO4gA4sJHdTP+TKw==</notes></var><var ID="v35513046" name="V162118a_4" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 4</labl><sumStat type="max">800.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.23770491803281563</sumStat><sumStat type="stdev">32.49864667167355</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3569</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8JEl4IJUB22T9o81mNlR0g==</notes></var><var ID="v35513016" name="V162118a_5" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 5</labl><sumStat type="mean">-1.1733021077283496</sumStat><sumStat type="max">800.0</sumStat><sumStat type="stdev">17.78946759413575</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3624</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ALyTxfjMQCFHWAakBwNopA==</notes></var><var ID="v35513989" name="V162118a_6" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 6</labl><sumStat type="mean">-1.6758782201405193</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.500195141443541</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">62.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3639</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KBPPyql3vgdBnQ+C0CM3aA==</notes></var><var ID="v35514135" name="V162118a_7" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 7</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.2193655852926426</sumStat><sumStat type="max">48.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.7065573770491753</sumStat><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3642</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FfbMl2Iihwd34axzUr4hJw==</notes></var><var ID="v35512716" name="V162118a_8" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 8</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.0382910980340534</sumStat><sumStat type="max">41.0</sumStat><sumStat type="mean">-1.7245901639344274</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3644</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kAelS6X3N5HgGzGFmXkB5w==</notes></var><var ID="v35513497" name="V162118a_9" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 2, Idea 9</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.8473027610803772</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">14.0</sumStat><sumStat type="mean">-1.7416861826697871</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3646</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S8t/rNL1LJK0x+Bjjy5rYg==</notes></var><var ID="v35513903" name="V162119" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party to deal with mention 2 MIP</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.5695550351288041</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.0225529317135105</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">1048</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Wouldn't be much difference</labl><catStat type="freq">1050</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">1241</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">292</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aI+4KiygRoD86YFUBfxz4g==</notes></var><var ID="v35514181" name="V162120a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Mention 3 most important problems facing the country</labl><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513315" name="V162120a_1" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 1</labl><sumStat type="medn">17.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">121.92255759253551</sumStat><sumStat type="max">800.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">36.60679156908669</sumStat><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">322</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">221</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">387</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">350</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">92</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XFqQmX5eo3WRqe7D68XkcQ==</notes></var><var ID="v35513367" name="V162120a_2" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 2</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">7.412646370023418</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">58.960847761663615</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3034</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x+XaJpbKHsDEgANafZ8skg==</notes></var><var ID="v35512959" name="V162120a_3" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 3</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">33.23139964647325</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mean">0.6299765807962907</sumStat><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3509</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:n3tr7b0X5xw1KGceqPwSoA==</notes></var><var ID="v35513212" name="V162120a_4" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 4</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">30.284418934962</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mean">-0.40679156908665837</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3616</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:14sOdbiF7n+ql3VkabblOw==</notes></var><var ID="v35513695" name="V162120a_5" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 5</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.7070257611241226</sumStat><sumStat type="stdev">2.262079530247096</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">59.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3642</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uIJAdQzjcbu1ntAXaUPGKw==</notes></var><var ID="v35513685" name="V162120a_6" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Mention 3, Idea 6</labl><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">17.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.8538500117891392</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.740983606557378</sumStat><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3646</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mIb2Skz0trUZ8cylXA4aEA==</notes></var><var ID="v35512670" name="V162121" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Party to deal with mention 3 MIP</labl><sumStat type="max">3.0</sumStat><sumStat type="mean">0.22459016393442524</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.053425206068995</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">788</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">866</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Wouldn't be much difference</labl><catStat type="freq">1007</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">958</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">23</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZaJeBRGl4SfEn9r/7N6eIw==</notes></var><var ID="v35514018" name="V162122a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Which among mentions is the most important problem</labl><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513668" name="V162122a_1" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Idea 1</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="medn">27.0</sumStat><sumStat type="stdev">142.77322077984297</sumStat><sumStat type="mean">53.89297423887622</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>750</catValu><labl level="category">750. All of them</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">383</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">227</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2wC4HOLcTQq5bC487JeHaw==</notes></var><var ID="v35512840" name="V162122a_2" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Idea 2</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">3.5557377049179846</sumStat><sumStat type="max">800.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">44.05559381680092</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>750</catValu><labl level="category">750. All of them</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3310</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R9t7tB1nF5gcYr43HB8+CQ==</notes></var><var ID="v35513172" name="V162122a_3" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Idea 3</labl><sumStat type="min">-7.0</sumStat><sumStat type="stdev">25.028099180607935</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="mean">-0.5707259953161645</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3596</catStat></catgry><catgry><catValu>750</catValu><labl level="category">750. All of them</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3GlsiLSxpJIl0Mg0GI/eBQ==</notes></var><var ID="v35512753" name="V162122a_4" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Idea 4</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">12.799747453930776</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">800.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.4030444964871176</sumStat><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>750</catValu><labl level="category">750. All of them</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3634</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a9IPAqq18Iq0prqdFH5SZQ==</notes></var><var ID="v35513416" name="V162122a_5" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most Important Problem - Idea 5</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">12.409490232087087</sumStat><sumStat type="mean">-1.555035128805623</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">800.0</sumStat><catgry><catValu>750</catValu><labl level="category">750. All of them</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. War</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>76</catValu><labl level="category">76. Afghanistan</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Welfare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Crime</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. AIDS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. International affairs (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>68</catValu><labl level="category">68. Sexual identity/LGBT+ issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>77</catValu><labl level="category">77. Syria</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Housing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. Sexism/Gender issues</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Energy crisis</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. National defense (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Energy (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>78</catValu><labl level="category">78. Elections</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Foreign aid</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. The media</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Energy prices</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Transportation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Child care</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Income (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Employment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Community development</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Education and training</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Defense spending</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Campaign finance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. Domestic violence</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>800</catValu><labl level="category">800. Other problem</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Respondent other (self reference w/o problem mentioned)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>79</catValu><labl level="category">79. Religion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Stock market</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Public morality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Race relations</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP (no further mention)</labl><catStat type="freq">3646</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Protection of US jobs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Guns</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Commerce</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Social security</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Political corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>80</catValu><labl level="category">80. Civility</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Poverty</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Justice (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. Economic inequality</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Veterans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Government (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Foreign Trade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. The economy</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Recession</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. Government power</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Size of government</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. School funding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. Inflation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Politicians</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Immigration</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>67</catValu><labl level="category">67. Young people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Agriculture</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle East</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Medicare</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. Budget priorities</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Answer not interpretable</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Science</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. Unity/division</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Ethics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Health (all other)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Natural Resources (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>66</catValu><labl level="category">66. Family</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Iraq</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. China</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Economics (all other)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>700</catValu><labl level="category">700. Everything</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Overpopulation</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. Abortion</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. Illegal drugs</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Serbia/Balkans</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Police problems</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Taxes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Environment</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Partisan politics</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Terrorism</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Corporate Corruption</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Budget</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Education (all other)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YZRzy7lE8IZHH2NJVQx1dA==</notes></var><var ID="v35513617" name="V162123" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Better if rest of world more like America</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.458545565358682</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.7540983606557357</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">697</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">797</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">569</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">308</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1272</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eCns9jOrMljCRugJtXWsuQ==</notes></var><var ID="v35513547" name="V162124" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How does R feel to see American flag</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.28618266978922147</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.7607955769554624</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Good</labl><catStat type="freq">2901</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Bad</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither good nor bad</labl><catStat type="freq">667</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HJPo0vCS/FQRBg4Vfs78Sw==</notes></var><var ID="v35513308" name="V162125" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How good/bad does R feel to see American flag</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.08266978922716446</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.696041256175806</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely</labl><catStat type="freq">1976</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">839</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">669</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mFG4P11bw5KKA33JQFCYvA==</notes></var><var ID="v35514360" name="V162125x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How good/bad does R feel to see American flag</labl><sumStat type="max">7.0</sumStat><sumStat type="mean">0.7704918032786878</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">3.1096567855277373</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Moderately good</labl><catStat type="freq">799</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little good</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Moderately bad</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little bad</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither good nor bad</labl><catStat type="freq">667</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely bad</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely good</labl><catStat type="freq">1954</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i1VFub4h0QH1TdExegW4rA==</notes></var><var ID="v35514205" name="V162126" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Heard about Rep Presidential cand Trump 2005 video about women</labl><sumStat type="stdev">2.5623397650185633</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.011007025761125647</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, heard about the video</labl><catStat type="freq">3409</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not heard about it</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:khF/EPxggc+6I2Hgj3FN/A==</notes></var><var ID="v35513025" name="V162127" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does Rep Presidential cand Trump 2005 video about women matter</labl><sumStat type="stdev">3.4958156822831934</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.2861826697892178</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">634</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">620</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">654</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">473</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1020</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Eoj/gC279ntPkLcHAfKHtg==</notes></var><var ID="v35513089" name="V162128" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Think of self as belonging to class</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.549379670186112</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">-0.5681498829039815</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">522</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1364</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1757</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c2qbbuHuB8B8qoZ2QdZBPA==</notes></var><var ID="v35513769" name="V162129" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is R working or middle class</labl><sumStat type="mean">-0.7402810304449661</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.531921833544481</sumStat><catgry><catValu>1</catValu><labl level="category">1. Middle class</labl><catStat type="freq">971</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1890</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Upper class</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Lower class or poor</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: to be corrected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">760</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:D145x2BKNlmCAjEpnat2bg==</notes></var><var ID="v35514061" name="V162130" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: If R had to choose working/ middle class</labl><sumStat type="stdev">2.1694101906366274</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.4512880562060895</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Middle class</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Upper class</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3122</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Lower class or poor</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">288</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ab/A/B17npzrcnkkYq/CLA==</notes></var><var ID="v35513826" name="V162131" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Average or upper working/ middle class</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.5667447306791566</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.5626137829839712</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1416</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Lower class or poor</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Upper [middle/working] class</labl><catStat type="freq">557</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Upper class</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Average [middle/working] class</labl><catStat type="freq">1636</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Lower [middle/working] class</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hTeTM13EwurUPacy7Nq7Dw==</notes></var><var ID="v35514153" name="V162132" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R social class</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.6421545667447393</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.805109123234005</sumStat><catgry><catValu>1</catValu><labl level="category">1. Lower class</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2284</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Upper class</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Middle class</labl><catStat type="freq">674</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Working class</labl><catStat type="freq">522</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6U4mVEEC/nhCtx6KNh3PIg==</notes></var><var ID="v35512702" name="V162133" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is R upper middle, middle, lower middle class</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.2742388758782253</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.3057398449204785</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2974</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Middle class</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Lower middle class</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Upper middle class</labl><catStat type="freq">165</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l+8PD7EfBeOFz9ugM4uyjQ==</notes></var><var ID="v35513059" name="V162134" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much opportunity in America to get ahead</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.403652383413075</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.6702576112412224</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1059</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">608</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1448</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">347</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gwNQ4YdTTk7PVs+evg8iMw==</notes></var><var ID="v35513608" name="V162135" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Economic mobility compared to 20 yrs ago</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.9718088427751783</sumStat><sumStat type="mean">0.7892271662763456</sumStat><catgry><catValu>3</catValu><labl level="category">3. The same</labl><catStat type="freq">522</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Easier</labl><catStat type="freq">465</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Harder</labl><catStat type="freq">2645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m/HqJpI4nPI5M+XMGR+wTg==</notes></var><var ID="v35514293" name="V162136" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much easier/harder is econ mobility compared to 20 yrs ago</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.1906323185011701</sumStat><sumStat type="stdev">2.825892781882699</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">538</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1392</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1372</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">344</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rwMs77n1p95xAJTHYKgt2Q==</notes></var><var ID="v35514195" name="V162136x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Economic mobility easier/harder compared to 20 yrs ago</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="stdev">4.455609707364412</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.74262295081967</sumStat><catgry><catValu>5</catValu><labl level="category">5. A little harder</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The same</labl><catStat type="freq">522</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. A moderate amount harder</labl><catStat type="freq">1140</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little easier</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount easier</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. A great deal harder</labl><catStat type="freq">1277</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal easier</labl><catStat type="freq">95</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yurUZbQatNMV+ZkoHAr3mw==</notes></var><var ID="v35514416" name="V162137" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: What is current unemployment rate</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">3.5405314724452004</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.7943793911007005</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 4.9% (correct)</labl><catStat type="freq">2049</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 6.9%</labl><catStat type="freq">893</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. 8.9%</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 2.9%</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SF+KXtJuTzW/4CCC75Md8A==</notes></var><var ID="v35514329" name="V162138" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: What is minimum wage in R state</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">6.399988130120672</sumStat><sumStat type="max">99.0</sumStat><sumStat type="medn">7.65</sumStat><sumStat type="mean">5.822042154566732</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6CCM9jP26+kbb+k4xCsuMA==</notes></var><var ID="v35514160" name="V162139" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Importance of reducing deficit</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.0215478822997146</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.6735362997658032</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">672</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">1464</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">1317</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:olfqRbyUZ0A+r88Ime/zRQ==</notes></var><var ID="v35513562" name="V162140" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose tax on millionaires</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.36112412177985465</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.8368268296667485</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">2442</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">549</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">644</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g+YO5lLVb/ECii9NWW2lHQ==</notes></var><var ID="v35513502" name="V162141" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How often bought or boycotted product or service for pol/soc reason</labl><sumStat type="stdev">3.112049840556595</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.7573770491803281</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Once in a while</labl><catStat type="freq">1198</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Never</labl><catStat type="freq">1571</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. All the time</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Most of the time</labl><catStat type="freq">323</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vMS/eQALetvbRfGOpItokQ==</notes></var><var ID="v35513078" name="V162142" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Health Care Law effect on health care services</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.0815859481562082</sumStat><sumStat type="mean">0.5234192037470731</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Improved</labl><catStat type="freq">1215</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Had no effect</labl><catStat type="freq">623</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Worsened</labl><catStat type="freq">1747</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yhqiNebjwYreGgXZc7enYQ==</notes></var><var ID="v35512724" name="V162143" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Health Care Law effect on number insured</labl><sumStat type="mean">0.13957845433255342</sumStat><sumStat type="stdev">2.9097783159589703</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2671</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Had no effect</labl><catStat type="freq">421</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">495</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kE8Gde/T7cGeqVEp+MmeUg==</notes></var><var ID="v35514258" name="V162144" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Health Care Law effect on cost of health care</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.09601873536299652</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.971427625114831</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">2678</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Had no effect</labl><catStat type="freq">457</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Duu3uRt4o6NLzahx+CMScw==</notes></var><var ID="v35512641" name="V162145" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Health Care Law effect on cost of R's health care</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.0952686855962894</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.6480093676815003</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decreased</labl><catStat type="freq">275</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased</labl><catStat type="freq">1829</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Had no effect</labl><catStat type="freq">1507</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zOcXzWc6Yt2ZRDrw2X3OnQ==</notes></var><var ID="v35513430" name="V162146" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose vaccines in schools</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.7795476340685736</sumStat><sumStat type="mean">0.2459016393442627</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">531</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">289</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">2814</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ARzkK3IWCaXQUDmu2bhtng==</notes></var><var ID="v35512576" name="V162147" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much favor or oppose vaccines in schools</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.6749995945193397</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.0522248243559793</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2211</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">545</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">747</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PiKOXgZ9nEJx2hCh7LFUnQ==</notes></var><var ID="v35512824" name="V162147x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Favor/oppose vaccines in schools</labl><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.8648711943793855</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.325442663850137</sumStat><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">2067</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">531</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Lz+/HU1lzZlisjOw89RiuQ==</notes></var><var ID="v35513395" name="V162148" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose govt reducing income ineqality</labl><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.6030444964871188</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.017407155301226</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">954</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1525</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1137</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">20</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3iLMzrVHkWDBwqCJthdflg==</notes></var><var ID="v35513689" name="V162149" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose requiring equal pay for men and women</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.10655737704918379</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.6724221851682293</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">287</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">3214</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S9RxVZwWJwD+0IymGfZ6IQ==</notes></var><var ID="v35514271" name="V162150" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much favor or oppose requiring equal pay for men and women</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.6393676911398645</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.0025761124121824698</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">2699</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">296</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/10m1EmSdHGxXNWdgdVoOA==</notes></var><var ID="v35513030" name="V162150x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Favor/oppose equal pay for men and women</labl><sumStat type="mean">0.46580796252927387</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">3.0170324629174554</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">2633</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose a moderate amount</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">287</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor a moderate amount</labl><catStat type="freq">496</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TzXOru1iUnV4U7q2nnJJaw==</notes></var><var ID="v35513143" name="V162151" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Changes in security at public places</labl><sumStat type="stdev">3.0458694720714887</sumStat><sumStat type="mean">0.7889929742388785</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Do not go far enough</labl><catStat type="freq">769</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have gone too far</labl><catStat type="freq">560</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Are just about right</labl><catStat type="freq">2288</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s00AUkWKpIf+2lhC8SdUJw==</notes></var><var ID="v35513931" name="V162152a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose limits on foreign imports [REV]</labl><sumStat type="mean">-0.8793911007025754</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.646897015904595</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">688</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1863</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1038</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:svCwQXrGQEP/Fu524se1Cg==</notes></var><var ID="v35514041" name="V162152b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose limits on foreign imports [STD]</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">18.1599531615925</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">39.691630963152406</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this</labl><catStat type="freq">827</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">673</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">351</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1785</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AgaVOAJ6KL1hIApzh/V+NA==</notes></var><var ID="v35512721" name="V162153" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is U.S. too supportive of Israel or not supportive enough</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.7838407494145201</sumStat><sumStat type="stdev">3.3975824363418066</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Not supportive enough</labl><catStat type="freq">882</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About right</labl><catStat type="freq">1822</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Too supportive</labl><catStat type="freq">837</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:q5v/OCM7Mn1wHtcJCHwTMw==</notes></var><var ID="v35513240" name="V162154a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much U.S. support Israel in conflict w/Palestinians [ISR 1st]</labl><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.322585366404373</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.16557377049180427</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">297</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">718</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1851</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">246</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i5XCWYpeaLqaaQVuSexz3w==</notes></var><var ID="v35513878" name="V162154b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much U.S. support Palestinians in conflict w/Israel [ISR 1st]</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">3.6781512209719764</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.1601873536299773</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">436</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1851</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">552</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">649</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0ct/AC110BM9GIjxiULv7A==</notes></var><var ID="v35513344" name="V162155a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much U.S. support Palestinians in conflict w/Israel [PAL 1st]</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.11381733021077067</sumStat><sumStat type="stdev">3.6782229602878087</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1797</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">645</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">392</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m1SaVyjWpcn35rgLhxt7vQ==</notes></var><var ID="v35513228" name="V162155b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much U.S. support Israel in conflict w/Palestinians [PAL 1st]</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.1953161592505885</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.353782658743103</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1797</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">301</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">676</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">299</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W75BPiibmnH4/kDXsooi1w==</notes></var><var ID="v35513480" name="V162155x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How much should U.S. support Israelis</labl><sumStat type="mean">1.3875878220140507</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.750397563202087</sumStat><catgry><catValu>2</catValu><labl level="category">2. Support Israelis a lot</labl><catStat type="freq">508</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Support Israelis a little</labl><catStat type="freq">598</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Support Israelis not at all</labl><catStat type="freq">499</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Support Israelis a moderate amount</labl><catStat type="freq">1394</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Support Israelis a great deal</labl><catStat type="freq">545</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6HxTkA9CGOj6R600/S1O8g==</notes></var><var ID="v35514224" name="V162156x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How much should U.S. support Palestinians</labl><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">4.194486313668692</sumStat><sumStat type="mean">1.8569086651053925</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">612</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Support Palestinians not at all</labl><catStat type="freq">1216</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Support Palestinians a moderate amount</labl><catStat type="freq">1170</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Support Palestinians a lot</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Support Palestinians a little</labl><catStat type="freq">808</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Support Palestinians a great deal</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">68</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ooeVdv69oZKCO9+2v7Q7DQ==</notes></var><var ID="v35513551" name="V162157" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: What should immigration levels be</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.6481129557757166</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.9969555035128819</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Decreased a little</labl><catStat type="freq">688</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Increased a little</labl><catStat type="freq">382</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Decreased a lot</labl><catStat type="freq">906</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increased a lot</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Left the same as it is now</labl><catStat type="freq">1442</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z16ASjUfBUtf0l6HHVexDA==</notes></var><var ID="v35512913" name="V162158" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How likely immigration will take away jobs</labl><sumStat type="medn">3.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">1.3875878220140576</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.330387858426333</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Not at all likely</labl><catStat type="freq">865</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Somewhat likely</labl><catStat type="freq">1474</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">553</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">737</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ReIW8fz6d/UjKNMDMn+Dnw==</notes></var><var ID="v35514056" name="V162159" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: China military threat</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.36674473067915553</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.0150585505408554</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Minor threat</labl><catStat type="freq">1560</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not a threat</labl><catStat type="freq">388</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Major threat</labl><catStat type="freq">1636</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oU2P0s4ucvMv7XvMIuZujw==</notes></var><var ID="v35513515" name="V162160" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How worried about terrorist attack next 12 months</labl><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.417798594847768</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.341100600473661</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Slightly worried</labl><catStat type="freq">682</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely worried</labl><catStat type="freq">645</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately worried</labl><catStat type="freq">1225</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all worried</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very worried</labl><catStat type="freq">844</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1hLzzn1lq0RuADWctOctMg==</notes></var><var ID="v35513214" name="V162161" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Health benefits of vaccinations outweigh risks</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.21100702576112054</sumStat><sumStat type="stdev">2.8804102716946627</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Benefits outweigh risks</labl><catStat type="freq">2677</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No difference</labl><catStat type="freq">539</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Risks outweigh benefits</labl><catStat type="freq">390</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OnbM7chA7WRNFwZyyJNwcw==</notes></var><var ID="v35514128" name="V162162" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Vaccinations benefit/risk strength</labl><sumStat type="stdev">2.7913125381902617</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.05807962529274051</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Moderately greater</labl><catStat type="freq">937</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">581</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly greater</labl><catStat type="freq">354</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much greater</labl><catStat type="freq">1769</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NzPgU3DL3FpyjuYRUSxeLQ==</notes></var><var ID="v35512643" name="V162162x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Benefits/risks of vaccinations</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">3.5070140973359782</sumStat><sumStat type="mean">0.9737704918032781</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Benefits slightly greater</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Risks much greater</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Risks slightly greater</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Benefits much greater</labl><catStat type="freq">1687</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No difference</labl><catStat type="freq">539</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Benefits moderately greater</labl><catStat type="freq">726</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Risks moderately greater</labl><catStat type="freq">211</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aTbqtgVsGeViPvVYLzP/AQ==</notes></var><var ID="v35513236" name="V162163" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Put off checkup and vaccines</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.5360655737704949</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8476562961968455</sumStat><catgry><catValu>1</catValu><labl level="category">1. Someone has put off health care</labl><catStat type="freq">1052</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No one has put off health care</labl><catStat type="freq">2583</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6BGisQ+jizOS4XZDo5MxPg==</notes></var><var ID="v35513184" name="V162164" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Will you pay all costs</labl><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.2449648711943775</sumStat><sumStat type="stdev">3.378995054251012</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">433</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">1089</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not likely at all</labl><catStat type="freq">500</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">733</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BpcR7X4cFu61SsVsPywEhQ==</notes></var><var ID="v35512620" name="V162165" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Worry about financial situation</labl><sumStat type="stdev">3.5428298387960466</sumStat><sumStat type="mean">1.9056206088992909</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little worried</labl><catStat type="freq">1040</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely worried</labl><catStat type="freq">402</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all worried</labl><catStat type="freq">651</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately worried</labl><catStat type="freq">1104</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very worried</labl><catStat type="freq">444</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oAnE6kMd6fHVXrH4ad6whQ==</notes></var><var ID="v35513080" name="V162166" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Able to make housing payments</labl><sumStat type="stdev">2.973488396474466</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.003981264637006515</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">1192</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">738</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1051</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not likely at all</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1p/QDTGdMdiTsGYKPF2wRw==</notes></var><var ID="v35513823" name="V162167" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Anyone lost jobs</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.789178779372838</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.42388758782201064</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Someone lost a job</labl><catStat type="freq">1580</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No one lost a job</labl><catStat type="freq">2060</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pPYfLaI32zJVnDL317kpQA==</notes></var><var ID="v35513069" name="V162168" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Country needs free thinkers</labl><sumStat type="stdev">3.142968138866172</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.9337236533957873</sumStat><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">1080</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">299</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">688</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1421</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rPxAN5agmacF2hPg8UUftQ==</notes></var><var ID="v35512914" name="V162169" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Country would be great by getting rid of rotten apples</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.488524590163935</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.434455978341033</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">747</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">631</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">998</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">702</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">560</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:66O0eDm1RVFQqteUj6+XaQ==</notes></var><var ID="v35513363" name="V162170" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Country needs strong leader to take us back to true path</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.3440281030444994</sumStat><sumStat type="stdev">3.4092189896827216</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">459</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">698</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">926</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">573</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">978</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:B5DSBNi83BP3PRf3fzo26A==</notes></var><var ID="v35513947" name="V162171" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: 7pt scale liberal-Conservate: self placement</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="stdev">33.57134621339124</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">15.718501170960195</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate/middle of the road</labl><catStat type="freq">841</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">473</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Haven't thought much about this</labl><catStat type="freq">590</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">652</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">442</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mD0Mp93nJ7MDDnhuME5/fA==</notes></var><var ID="v35514290" name="V162171a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: If had to choose, liberal or conservative</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.7627634660421543</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.8735626384883224</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2208</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Liberal</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderate</labl><catStat type="freq">700</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Conservative</labl><catStat type="freq">427</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FGs/esCTpffHGgsi/6nZug==</notes></var><var ID="v35514252" name="V162172" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: 7pt scale liberal-conservative: Democratic House cand</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">3.7702669626066383</sumStat><sumStat type="mean">1.1238875878220358</sumStat><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">714</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">597</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">959</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">904</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">202</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tRl0MpjIfEHdrbAHEiiMVw==</notes></var><var ID="v35514066" name="V162173" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: 7pt scale liberal-conservative: Republican House cand</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">4.531197746412553</sumStat><sumStat type="mean">1.8058548009367832</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Slightly conservative</labl><catStat type="freq">498</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely conservative</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Conservative</labl><catStat type="freq">928</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">773</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely liberal</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Moderate, middle of the road</labl><catStat type="freq">807</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Liberal</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly liberal</labl><catStat type="freq">204</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Hnw0FQdjCoDTl6pL4wUBmg==</notes></var><var ID="v35513727" name="V162174" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Ever discuss politics with family or friends</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.11077283372365081</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.6227023184706653</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">673</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2972</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/DyQ7pegUV4lf0TWZ8WzPg==</notes></var><var ID="v35513631" name="V162174a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Days in past week discussed politics</labl><sumStat type="max">7.0</sumStat><sumStat type="mean">1.727400468384074</sumStat><sumStat type="stdev">4.215130031980919</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Five days</labl><catStat type="freq">314</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One day</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Seven days</labl><catStat type="freq">840</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">676</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Six days</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Two days</labl><catStat type="freq">468</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Zero days</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Four days</labl><catStat type="freq">305</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Three days</labl><catStat type="freq">366</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+X3Gy8Y15seAekhDByW0Aw==</notes></var><var ID="v35514197" name="V162175" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is increasing trade w/other countries good for U.S.</labl><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.5709601873536323</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.1096159982998355</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Bad</labl><catStat type="freq">705</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Good</labl><catStat type="freq">1684</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither good nor bad</labl><catStat type="freq">1205</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fsaSROaCfMCQzOVTezGvIw==</notes></var><var ID="v35514038" name="V162176" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose free trade agreements w/other countries</labl><sumStat type="mean">0.6918032786885243</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.1579195108637763</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1448</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">726</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1421</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eshbBfda4SnkWfE6VtrgFA==</notes></var><var ID="v35513928" name="V162176a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How strongly favor/oppose free trade agreements w/other countries</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.29367681498828485</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.7971025932761</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">1161</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">602</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1501</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">383</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3wYpDvC5cwjTYxklL6lHwA==</notes></var><var ID="v35512827" name="V162176x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Favor/oppose free trade agreements</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.0416861826697876</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">3.9431596232406996</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose moderately</labl><catStat type="freq">340</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1448</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor moderately</labl><catStat type="freq">821</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">354</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">245</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xOV//agQskyhtXTeJeOa6A==</notes></var><var ID="v35512750" name="V162177" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Should govt encourage/discourage outsourcing</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.37658079625292273</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.9255002827446734</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Discourage</labl><catStat type="freq">2523</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Encourage</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Should stay out of this matter</labl><catStat type="freq">945</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UdXmf4ZBTL5pq4osrLwVJQ==</notes></var><var ID="v35513980" name="V162178" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has increase in govt wiretap powers gone too far</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.168142053870747</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.4175644028103032</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Are just about right</labl><catStat type="freq">1769</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have gone too far</labl><catStat type="freq">1241</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Do not go far enough</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">48</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xuDc+6ZNaMLVdFP8hKUzwg==</notes></var><var ID="v35513180" name="V162179" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Should marijuana be legal</labl><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.9581152647274775</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.6058548009367758</sumStat><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1057</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">927</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">1648</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s6aUMspl+OCxrecj+OZVfw==</notes></var><var ID="v35514229" name="V162180" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Should gov do more or less to regulate banks</labl><sumStat type="stdev">3.1340903406021816</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.6196721311475413</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less</labl><catStat type="freq">481</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More</labl><catStat type="freq">1702</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The same</labl><catStat type="freq">1413</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L86Id3dA/5tVKLeGWteayA==</notes></var><var ID="v35514236" name="V162180a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much more or less should gov do to regulate banks</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">2.723053362449719</sumStat><sumStat type="mean">-0.3749414519906323</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">998</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">929</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1465</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qVvbLUJpYSLAl44GHkTjkg==</notes></var><var ID="v35512657" name="V162180x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Gov should do more/less to regulate banks</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.777510973812761</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">1.6339578454332533</sumStat><catgry><catValu>4</catValu><labl level="category">4. The same</labl><catStat type="freq">1413</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little less</labl><catStat type="freq">121</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little more</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. A moderate amount less</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal more</labl><catStat type="freq">820</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. A great deal less</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount more</labl><catStat type="freq">747</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">30</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:odQw5oJxrZb0yZh7jOW1jg==</notes></var><var ID="v35514301" name="V162181" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: STD Abortion: Democratic Presidential cand placemt</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.772638413621809</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">1.9105386416861845</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. By law, a woman should always be able to obtain an abortion as a matter of personal choice</labl><catStat type="freq">2627</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. By law, abortion should never be permitted</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. The law should permit abortion only in case of rape, incest, or when the woman's life is in danger</labl><catStat type="freq">363</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The law should permit abortion for reasons other than rape, incest or danger to the woman's life, but only after the</labl><catStat type="freq">406</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:adWSAY907fAacRCrPllQHg==</notes></var><var ID="v35513659" name="V162182" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: STD Abortion: Republican Presidential cand placemt</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.3300247587773995</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">0.575409836065573</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. The law should permit abortion only in case of rape, incest, or when the woman's life is in danger</labl><catStat type="freq">1429</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. By law, a woman should always be able to obtain an abortion as a matter of personal choice</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. By law, abortion should never be permitted</labl><catStat type="freq">1242</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The law should permit abortion for reasons other than rape, incest or danger to the woman's life, but only after the</labl><catStat type="freq">441</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Sr+tJL0YnKB91x1JoVHeJg==</notes></var><var ID="v35512776" name="V162183" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Govt bigger because too involved OR bigger problems</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.2728337236533983</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.82814340284174</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Gov't bigger because it's involved in things people should handle themselves</labl><catStat type="freq">1972</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Gov't bigger because problems are bigger</labl><catStat type="freq">1644</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:58Oiug3T9Rz0S2MGVvx/tg==</notes></var><var ID="v35514121" name="V162184" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Need strong govt for complex problems OR free market</labl><sumStat type="stdev">2.7862050588669955</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.20187353629976101</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Free market can handle without gov't involvement</labl><catStat type="freq">1320</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Need a strong gov't to handle complex economic problems</labl><catStat type="freq">2298</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VO0Prcyrf6wMXd/mCoplfA==</notes></var><var ID="v35513412" name="V162185" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Less govt better OR more that govt should be doing</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.32927400468384244</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.830539902056024</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. More things government should be doing</labl><catStat type="freq">1841</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Less government the better</labl><catStat type="freq">1779</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PRXz9+/6e76Kxx3t4yaMWg==</notes></var><var ID="v35514247" name="V162186" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Regulation of Business</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">3.3927766431713167</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.6217798594847797</sumStat><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">710</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">415</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">2173</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qgQt8wrGzpvF1vx6orVLKw==</notes></var><var ID="v35514112" name="V162188" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How does Rep Presidential candidate treat women</labl><sumStat type="stdev">2.9610154485431797</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.5114754098360649</sumStat><catgry><catValu>2</catValu><labl level="category">2. Treats women well</labl><catStat type="freq">755</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Treats women poorly</labl><catStat type="freq">1950</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Treats women neither poorly nor well</labl><catStat type="freq">918</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5o0MpwkmRpk07fxUbwTZ6Q==</notes></var><var ID="v35514267" name="V162188a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How well/poorly does Rep Presidential candidate treat women</labl><sumStat type="mean">-0.18407494145199385</sumStat><sumStat type="stdev">2.7094534060704776</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">973</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">943</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely</labl><catStat type="freq">1572</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nRHItDvy13TOB0PdyjJmeA==</notes></var><var ID="v35513217" name="V162188x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How does Rep Presidential candidate treat women</labl><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6437939110070214</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.8327413723621944</sumStat><catgry><catValu>2</catValu><labl level="category">2. Treats women moderately poorly</labl><catStat type="freq">506</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Treats women slightly poorly</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Treats women extremely poorly</labl><catStat type="freq">1332</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Treats women moderately well</labl><catStat type="freq">467</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Treats women extremely well</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Treats women slightly well</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Treats women neigher poorly nor well</labl><catStat type="freq">918</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DPnCsq8m/Lf/qPcF4CrCrg==</notes></var><var ID="v35513465" name="V162189" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How does Dem Presidential candidate treat women</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.8906323185011766</sumStat><sumStat type="stdev">3.069581348320379</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Treats women poorly</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Treats women neither poorly nor well</labl><catStat type="freq">1027</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Treats women well</labl><catStat type="freq">2151</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eKNNODJ3HNDUM5OsvPXmNg==</notes></var><var ID="v35513633" name="V162189a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How well/poorly does Dem Presidential candidate treat women</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.22482435597189449</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.727585181534529</sumStat><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">1030</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely</labl><catStat type="freq">1396</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1051</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S8NDdqBwSmgwSaCfxIC+rA==</notes></var><var ID="v35513049" name="V162189x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How does Dem Presidential candidate treat women</labl><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.4372365339578472</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">4.441248112331908</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Treats women extremely poorly</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Treats women slightly well</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Treats women extremely well</labl><catStat type="freq">1173</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Treats women moderately well</labl><catStat type="freq">850</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Treats women slightly poorly</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Treats women neigher poorly nor well</labl><catStat type="freq">1027</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Treats women moderately poorly</labl><catStat type="freq">180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5/0O4al6lKcTaEhBbMzlGw==</notes></var><var ID="v35513535" name="V162190" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Important differences in what major parties stand for</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.6877505280311214</sumStat><sumStat type="mean">0.02529274004683989</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, no differences</labl><catStat type="freq">551</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, differences</labl><catStat type="freq">3068</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3o5MdaDKNGpbMAX25lxkpA==</notes></var><var ID="v35513744" name="V162191" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is one of the parties more conservative than the other</labl><sumStat type="stdev">2.736172614408852</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.03911007025761275</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, one party more conservative</labl><catStat type="freq">3163</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, one party not more conservative</labl><catStat type="freq">441</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TJ/48g7OrY0oP5H0xe7C3w==</notes></var><var ID="v35513938" name="V162191a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Which is the party that is more conservative</labl><sumStat type="stdev">2.8954635170690466</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.33700234192038014</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democrats</labl><catStat type="freq">438</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republicans</labl><catStat type="freq">2711</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">485</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sfIdOsBYIQKc9IJgDdc7qA==</notes></var><var ID="v35513920" name="V162192" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Should the minimum wage be raised</labl><sumStat type="stdev">2.8570988600802782</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.29039812646369884</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Raised</labl><catStat type="freq">2334</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Eliminated</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Kept the same</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Lowered</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wY2ecFwePMLg7mnxnjXfxg==</notes></var><var ID="v35513190" name="V162193" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Increase or decrease gov spending to help people pay for health care</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.5327868852458997</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.06281967027869</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Decrease</labl><catStat type="freq">920</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No change</labl><catStat type="freq">988</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increase</labl><catStat type="freq">1693</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:X0JbhBVUwigEtlZr25wfiw==</notes></var><var ID="v35513208" name="V162193a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much favor increase/decrease gov help paying for health care</labl><sumStat type="stdev">2.848745949562615</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.04730679156907881</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1035</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A moderate amount</labl><catStat type="freq">1334</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">381</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">892</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xzTr2pP8wkFNzUtpLWyjSg==</notes></var><var ID="v35513627" name="V162193x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Increase/decrease gov spending for health care</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">4.013839477034226</sumStat><sumStat type="mean">1.981030444964871</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Decrease a great deal</labl><catStat type="freq">347</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Decrease a moderate amount</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No change</labl><catStat type="freq">988</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Decrease a little</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Increase a moderate amount</labl><catStat type="freq">907</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Increase a little</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Increase a great deal</labl><catStat type="freq">545</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0X3EYPEwZ1WCfG+Z8dVPEw==</notes></var><var ID="v35513993" name="V162194" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Number of organizations in which R is a member</labl><sumStat type="mean">-0.12997658079625024</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.3345815066815376</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">50.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rZKdvsouiIXMYpU+t0KobA==</notes></var><var ID="v35512548" name="V162195" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R done community work in past 12 months</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.831799194590509</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.5021077283372278</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">1213</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">2424</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4KF63+NOa1LRaJl5Po3sMA==</notes></var><var ID="v35513044" name="V162196" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did R attend meeting on school/community issue past 12 months</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.826952963829369</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.5407494145199139</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">2549</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">1092</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ysN2Fvwa/AIvp9EH8DmmGw==</notes></var><var ID="v35513490" name="V162197" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R done any volunteer work in past 12 months</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.8004314877022165</sumStat><sumStat type="mean">0.4053864168618317</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">1615</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">2021</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TPu2WYW2pYmMe2gyYvFbcA==</notes></var><var ID="v35513856" name="V162198" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R contacted elected federal official in past 12 months</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.8878953184111587</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6812646370023429</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">449</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">3188</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xoDBqPlKiflzEoDoJwTYKw==</notes></var><var ID="v35514051" name="V162199a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Why has R contacted elected federal official</labl><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35512919" name="V162200" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R contacted non-elected federal official in past 12 months</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.7320843091334941</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.897382298888025</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">3395</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1GqJtawS0R+vBPzjmE5XmQ==</notes></var><var ID="v35513204" name="V162201a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Why has R contacted non-elected federal official</labl><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.4659695853252197</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35512666" name="V162202" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R contacted elected local official in past 12 months</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.6751756440280954</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">2.8825071000091853</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">3153</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">485</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1MS9VjIH8tsnqFUPGIZxpw==</notes></var><var ID="v35513032" name="V162203a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Why as R contacted elected local official</labl><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513354" name="V162204" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Has R contacted non-elected local official in past 12 months</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.7105386416861809</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.887936872088213</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes, have done this in the past 12 months</labl><catStat type="freq">345</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, have not done this</labl><catStat type="freq">3294</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oIJr5QSrnD8lf6sHP3/vmQ==</notes></var><var ID="v35512654" name="V162205a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Why has R contacted non-elected local official</labl><sumStat type="stdev">1.4659695853252197</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-2.6028103044496462</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Text responses available in separate file</labl><catStat type="freq">3648</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ttV2nEEO82WaleC2xQ+C3A==</notes></var><var ID="v35513990" name="V162207" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: world is changing and we should adjust</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.6262295081967193</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.4969270817406284</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">596</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">542</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1136</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">774</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MdKsWhdLcSHB6TltHVcotw==</notes></var><var ID="v35513157" name="V162208" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: newer lifestyles breaking down society</labl><sumStat type="stdev">3.4178153547812142</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.396955503512883</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">753</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1081</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">751</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">499</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">549</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:031lz4eK3UXqsUaSvatJCQ==</notes></var><var ID="v35513652" name="V162209" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: be more tolerant of other moral standards</labl><sumStat type="mean">1.1229508196721307</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.273095347714255</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">259</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">436</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">903</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">756</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1277</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2JDW5ZsmBN1ZUX4RTHV/rQ==</notes></var><var ID="v35513528" name="V162210" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: more emphasis on traditional family values</labl><sumStat type="mean">1.0742388758782189</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.265178128653996</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">1167</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1061</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">716</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">330</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hIE+66b8m2rkmzRDu8K4CQ==</notes></var><var ID="v35514073" name="V162211" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: blacks shd work way up w/o special favors</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.384647467677612</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.2217798594847753</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">486</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">474</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">1110</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">912</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">647</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bzKVCk6h6e3i9vZtMg8y2A==</notes></var><var ID="v35513364" name="V162212" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: past slavery make more diff for blacks</labl><sumStat type="stdev">3.534882630402414</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6304449648711972</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">785</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">706</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">512</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">645</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">986</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KSUp/hGiEdD93A8GIA4fIg==</notes></var><var ID="v35513742" name="V162213" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: blacks have gotten less than deserve</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.8416861826697961</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.6021056496370334</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">695</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">936</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">711</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">878</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Cp7/mvpbqV4tMKS16T73Qg==</notes></var><var ID="v35513564" name="V162214" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Agree/disagree: blacks must try harder to get ahead</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.5321905969124</sumStat><sumStat type="mean">1.5807962529273973</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">629</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">871</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">673</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">785</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">668</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yYUQRnEFwy4kcHEB6Zp3jw==</notes></var><var ID="v35513500" name="V162215" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: [STD] Publ officials don't care what people think</labl><sumStat type="mode">.</sumStat><sumStat type="mean">1.1320843091334853</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.230995372357096</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">763</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">812</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1395</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">534</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OkMhdHzMcQr5A+ORhhXiOQ==</notes></var><var ID="v35513478" name="V162216" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: [STD] Have no say about what govt does</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.406088992974245</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.3897950031054305</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">621</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">301</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1200</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">619</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">892</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LZq+Zpsz1JUeRtkb2djqHw==</notes></var><var ID="v35513602" name="V162217" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: [REV] Politics/govt too complicated to understand</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.8093676814988306</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.499784998005581</sumStat><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">791</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">1316</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">994</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">329</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oRp8TifNWIRPqHVyEH5yDw==</notes></var><var ID="v35513682" name="V162218" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: [REV] Good understanding of political issues</labl><sumStat type="mean">1.5543325526932181</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.362076641888146</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely well</labl><catStat type="freq">286</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not well at all</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly well</labl><catStat type="freq">673</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately well</labl><catStat type="freq">1674</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very well</labl><catStat type="freq">814</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p5wZsb/lkLCfgVPIT8fsdw==</notes></var><var ID="v35513476" name="V162219" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Electoral integrity: are votes counted fairly</labl><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.9704918032786939</sumStat><sumStat type="stdev">3.2062790486534616</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">2018</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. All of the time</labl><catStat type="freq">643</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half of the time</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:C7LPJUUIG7/eO5T2mJT9rw==</notes></var><var ID="v35514006" name="V162220" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Electoral integrity: do the rich buy elections</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.651341409540388</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.6810304449648759</sumStat><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">869</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half of the time</labl><catStat type="freq">538</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">1434</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. All of the time</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O5Z0oKiHvls2XbxnDmWqVA==</notes></var><var ID="v35513012" name="V162221" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How important that more Hispanics get elected</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.697446083173774</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.9234192037470716</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">539</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">730</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">233</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">1192</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">914</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zAnRy5ZZKFU3Pc0TFDHiUA==</notes></var><var ID="v35513927" name="V162222" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: HISPANIC: news in English or Spanish</labl><sumStat type="stdev">2.0046524948445743</sumStat><sumStat type="mean">-1.55292740046839</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. English more</labl><catStat type="freq">298</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both equally</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3275</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Spanish more</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mOvgYuySo7EYpKLBk3CHwA==</notes></var><var ID="v35513792" name="V162223" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: HISPANIC: how much R uses English or Spanish</labl><sumStat type="stdev">2.160266973862985</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.4653395784543315</sumStat><catgry><catValu>5</catValu><labl level="category">5. Spanish and little or no English</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Mostly Spanish but English at least some of the time</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3275</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mostly English but Spanish at least some of the time</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both English and Spanish about equally</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. English and little or no Spanish</labl><catStat type="freq">115</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PsPDa43h+D5o4oSXM3STkQ==</notes></var><var ID="v35512815" name="V162224" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Hisp R: life be affected by what happens to Hispanics</labl><sumStat type="min">-8.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.15738059336166</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.468149882903986</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A lot</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very much</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3275</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iVoXiWpIWz3v7Y5eewyNOg==</notes></var><var ID="v35513681" name="V162225" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Black R: life be affected by what happens to blacks</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.122759273160243</sumStat><sumStat type="mean">-1.4852459016393442</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. A lot</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very much</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3246</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cXL9STJWBM1dtZiMDsuFbw==</notes></var><var ID="v35513039" name="V162226" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Asian R: life be affected by what happens to Asians</labl><sumStat type="max">4.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.6538641686182642</sumStat><sumStat type="stdev">1.937680465074527</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. A lot</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Some</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very much</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3516</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M5mzOhiD0jlCnSS9XskGAw==</notes></var><var ID="v35512736" name="V162227" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How important that more women get elected</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.526355166012711</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.580562060889935</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">495</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">494</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">819</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">633</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t0bLQXIv6kmAs23DAZ4H/g==</notes></var><var ID="v35513840" name="V162228" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Easier or harder for working mother to bond with child</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.1346118867332544</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.062529274004682</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Easier</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Harder</labl><catStat type="freq">2129</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither easier nor harder</labl><catStat type="freq">1414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:U9GjT4UXEmjXZdBsHqx+SA==</notes></var><var ID="v35513572" name="V162229a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much easier for working mother to bond with child</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.6941451990632308</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.8844926725593318</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3569</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v5bQfSupLidsZWNrMb1gRw==</notes></var><var ID="v35512953" name="V162229b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much harder for working mother to bond with child</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.7608321386795533</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.36112412177984604</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1519</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">735</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">1086</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">305</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XIpbKD3FSeoQIvdE5dVirA==</notes></var><var ID="v35512773" name="V162229x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Working mother's bond with child</labl><sumStat type="stdev">4.307554783935088</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.4955503512880495</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat harder</labl><catStat type="freq">1086</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal easier</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly easier</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither easier nor harder</labl><catStat type="freq">1414</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly harder</labl><catStat type="freq">305</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat easier</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. A great deal harder</labl><catStat type="freq">735</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FH6v5jEXzNFO15T4QYXG0w==</notes></var><var ID="v35512599" name="V162230" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Better if man works and woman takes care of home</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.216432184611901</sumStat><sumStat type="mean">0.9028103044496496</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Better</labl><catStat type="freq">1299</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Worse</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Makes no difference</labl><catStat type="freq">2116</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BGoGCY7RwG0qvXNObJLX6A==</notes></var><var ID="v35514336" name="V162230a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much better if man works and woman at home</labl><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9627634660421617</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.4687828154966853</sumStat><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">663</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2349</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">484</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PtsUeyDpbCHcXxJQeZn4jA==</notes></var><var ID="v35512676" name="V162230b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much worse if man works and woman at home</labl><sumStat type="min">-7.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.61709601873536</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.9757816882451664</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3457</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly</labl><catStat type="freq">38</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7edoKO0tCYAlki8IsBr/pw==</notes></var><var ID="v35513841" name="V162230x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Better if man works and woman takes care of home</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">1.7498829039812647</sumStat><sumStat type="stdev">3.6970316273285593</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat better</labl><catStat type="freq">484</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Makes no difference</labl><catStat type="freq">2116</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Slightly worse</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much better</labl><catStat type="freq">663</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Much worse</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat worse</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Slightly better</labl><catStat type="freq">149</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qViJolKAWZ3Y6ewFvXnLew==</notes></var><var ID="v35513745" name="V162231" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Media pay more attention to discrimination</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">3.1340430097387757</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.7021077283372344</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less attention</labl><catStat type="freq">618</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Same amount of attention</labl><catStat type="freq">1482</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. More attention</labl><catStat type="freq">1505</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CNU5mhD2KeeZLAzGhTL2/g==</notes></var><var ID="v35513015" name="V162231a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much more attn should media pay to discrim against women</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.837704918032789</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.5230040019327125</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2143</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">623</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">748</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">133</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VVheciwgL+jKyLddQPPBgA==</notes></var><var ID="v35513064" name="V162231b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much less attn should media pay to discrim against women</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.264440815578627</sumStat><sumStat type="mean">-1.324590163934423</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3030</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2aZxt9XLDSYrr0TE3IvEmw==</notes></var><var ID="v35512860" name="V162231x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- How much attn media should pay to discrim against women</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.8325526932084344</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.8577807761889864</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal more attention</labl><catStat type="freq">748</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little more attention</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little less attention</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Same amount of attention</labl><catStat type="freq">1482</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat less attention</labl><catStat type="freq">291</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. A great deal less attention</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat more attention</labl><catStat type="freq">623</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:02RWsT5ahhkU2wML5b1xKQ==</notes></var><var ID="v35514222" name="V162232" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Do women demanding equality seek special favors</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.8770987075534844</sumStat><sumStat type="mean">2.242857142857145</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Always</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">1477</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">1083</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">617</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">328</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fdiAMfNJhxzdg5WqwZQwUA==</notes></var><var ID="v35512584" name="V162233" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Do women complaining about discrim cause more problems</labl><sumStat type="stdev">3.8284065758876404</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.127634660421544</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Most of the time</labl><catStat type="freq">378</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some of the time</labl><catStat type="freq">1624</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Never</labl><catStat type="freq">813</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Always</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. About half the time</labl><catStat type="freq">663</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sKtdDLQt7lcmRw4VKLhzvg==</notes></var><var ID="v35513623" name="V162234" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Does R favor or oppose limits on campaign spending</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8800165749926583</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.31873536299766037</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">761</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">2612</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mBNxKQeh7qZdihJOOUH21A==</notes></var><var ID="v35512984" name="V162235" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much does Cong pass laws that benefit contributor organizations</labl><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.606940555590684</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.2660421545667508</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">857</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1300</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">504</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oq8+V45gcDSJX3GofYqisQ==</notes></var><var ID="v35512675" name="V162236" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How much does Cong pass laws that benefit contributor individuals</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.8772482642017687</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.665807962529276</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">946</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all</labl><catStat type="freq">720</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1021</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">322</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">533</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J5C6TSi3k1MhIipPyMY0OQ==</notes></var><var ID="v35513765" name="V162238" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: For or against preferential hiring/promotion of blacks</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.1254851696734933</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.37096018735362896</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Against preferential hiring and promotion of blacks</labl><catStat type="freq">2684</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. For preferential hiring and promotion of blacks</labl><catStat type="freq">867</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fkETXVaQJ4G7RCpqVUrwQw==</notes></var><var ID="v35513548" name="V162238a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Strength favor preferential hiring/promotion of blacks</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.246604215456676</sumStat><sumStat type="stdev">2.262847589475126</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">447</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2781</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">419</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jLT1zyI3V9mWTO9XTuSEHA==</notes></var><var ID="v35514163" name="V162238b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Strength oppose preferential hiring/promotion blacks</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.6257315091647495</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">-0.3182669789227132</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strongly</labl><catStat type="freq">1893</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">964</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly</labl><catStat type="freq">786</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KRokBRlZ00QQaMvG/C3W4g==</notes></var><var ID="v35513237" name="V162238x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Favor preferential hiring and promotion of blacks</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">4.145357382149838</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.1526932084309127</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not strongly against preferential hiring</labl><catStat type="freq">786</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Strongly against preferential hiring</labl><catStat type="freq">1893</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not strongly for preferential hiring</labl><catStat type="freq">419</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strongly for preferential hiring</labl><catStat type="freq">447</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KXSsT96XBb68dd8iZvEykw==</notes></var><var ID="v35513206" name="V162239" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Child trait more important: independence or respect</labl><sumStat type="medn">2.0</sumStat><sumStat type="stdev">2.8942722981149283</sumStat><sumStat type="mean">0.5665105386416863</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Independence</labl><catStat type="freq">919</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Respect for elders</labl><catStat type="freq">2642</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Gqfcf4eLspTNBT+csZn5qQ==</notes></var><var ID="v35512536" name="V162240" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Child trait more important: curiosity or good manners</labl><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">2.846566986956681</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.502810304449644</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Good manners</labl><catStat type="freq">2294</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Curiosity</labl><catStat type="freq">1265</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1o1XCN3NEC566tz2ssZdNQ==</notes></var><var ID="v35513897" name="V162241" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Child trait more important: obedience or self-reliance</labl><sumStat type="mean">0.37564402810303965</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.84599092044586</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Obedience</labl><catStat type="freq">1684</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Self-reliance</labl><catStat type="freq">1870</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O/89G/UbwYhPjAyjFyya3g==</notes></var><var ID="v35513908" name="V162242" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Child trait more important: considerate or well-behaved</labl><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.24285714285714913</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.7576065351128096</sumStat><catgry><catValu>1</catValu><labl level="category">1. Being considerate</labl><catStat type="freq">2375</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Well behaved</labl><catStat type="freq">1149</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zTMjt18kNE4QmZ1OzwzR4g==</notes></var><var ID="v35513606" name="V162243" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Society should make sure everyone has equal opportunity</labl><sumStat type="mean">0.6262295081967205</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.032712346697712</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">1823</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">459</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1025</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p9OAJXR50ROy/OKzBqRMMQ==</notes></var><var ID="v35512749" name="V162244" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: We'd be better off if worried less about equality</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.556522443129665</sumStat><sumStat type="mean">1.6728337236533952</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">794</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">809</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">594</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">892</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">540</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nbVysfZBX471nrvRpXYQ0g==</notes></var><var ID="v35514391" name="V162245" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Not a big problem if some have more chance in life</labl><sumStat type="mean">2.00468384074942</sumStat><sumStat type="stdev">3.6449956813131714</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">879</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">954</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">644</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">959</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:glcr2mkZoNTB+B3RbAcKww==</notes></var><var ID="v35513342" name="V162246" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: If people were treated more fairly would be fewer probs</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.9840749414519927</sumStat><sumStat type="stdev">3.208931269334716</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">412</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">1084</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">786</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1208</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e+ejO6sauftxTFymI0mCzg==</notes></var><var ID="v35513065" name="V162248" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R likes to have strong opinions even when not personally involved</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.7608899297423901</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.5590546691221236</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">590</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">1452</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">882</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">320</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L6uNC9zesZ73a6tP3UPCSQ==</notes></var><var ID="v35514054" name="V162249" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R forms opinions about everything</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.3119096597214086</sumStat><sumStat type="mean">0.35011709601874724</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1174</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">381</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">881</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">618</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4DsmZogWmRvFFL8TEx4ksA==</notes></var><var ID="v35513483" name="V162250" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Important for R to hold strong opinions</labl><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.5962465896400424</sumStat><sumStat type="mean">1.9468384074941305</sumStat><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">1568</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">561</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">519</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">768</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6kOsoLW1HBe90RelDNcdXw==</notes></var><var ID="v35512770" name="V162251" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: It bothers R to remain neutral</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.0033134808408164</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.6409836065573817</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3552</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">24</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0oo1sf4g2jzpcZhZQV6VbQ==</notes></var><var ID="v35513520" name="V162252" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R has many more opinions than the average person</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.5138173302107478</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.0738808066165877</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2474</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">132</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ubv3oSHuL5FuQAlOsAxM4A==</notes></var><var ID="v35512740" name="V162253" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R would rather have strong opinion than no opinion</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.665102713900531</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.8889929742388634</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extremely characteristic of me</labl><catStat type="freq">675</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Somewhat characteristic of me</labl><catStat type="freq">1386</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat uncharacteristic of me</labl><catStat type="freq">600</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Uncertain</labl><catStat type="freq">602</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely uncharacteristic of me</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8izKHuvvR8x1tGAyNjYpLQ==</notes></var><var ID="v35513943" name="V162253x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Need to Evaluate score</labl><sumStat type="max">2.70474466436606</sumStat><sumStat type="stdev">2.3950492100080925</sumStat><sumStat type="mean">-0.8116300017246512</sumStat><sumStat type="medn">-0.15894997051666</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:A/XB2bVFflnxvXstuhnFSg==</notes></var><var ID="v35513553" name="V162254" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Did the U.S. government know about 9/11 in advance</labl><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.435387336795441</sumStat><sumStat type="mean">1.340046838407498</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Definitely knew</labl><catStat type="freq">293</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Probably did not know</labl><catStat type="freq">1463</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Definitely did not know</labl><catStat type="freq">815</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Probably knew</labl><catStat type="freq">1025</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vQwb9XK4Xe4NB8wv5y5KQg==</notes></var><var ID="v35514385" name="V162255" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Is Barack Obama Muslim</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.08548009367680598</sumStat><sumStat type="stdev">3.3577856847985648</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Muslim</labl><catStat type="freq">2414</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Muslim</labl><catStat type="freq">1032</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DCsxk1bIj00yxRSJ8HwISQ==</notes></var><var ID="v35513933" name="V162255a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How sure is R that Obama is/isn't Muslim</labl><sumStat type="mode">.</sumStat><sumStat type="mean">1.1032786885245869</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.3369898227522117</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely sure</labl><catStat type="freq">1117</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little sure</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very sure</labl><catStat type="freq">613</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not sure at all</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately sure</labl><catStat type="freq">868</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6qx5FXIYa5QqNqtAb+mXMw==</notes></var><var ID="v35512561" name="V162255x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Barack Obama is/isn't Muslim</labl><sumStat type="medn">6.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">4.273770491803287</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">5.9993160048769045</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately sure Obama is a Muslim</labl><catStat type="freq">359</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. A lttle sure Obama not a Muslim</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Very sure Obama not a Muslim</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little sure Obama is a Muslim</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Extremely sure Obama not a Muslim</labl><catStat type="freq">945</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Moderately sure Obama not a Muslim</labl><catStat type="freq">509</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very sure Obama is a Muslim</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Not sure at all sure Obama not a Muslim</labl><catStat type="freq">294</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely sure Obama is a Muslim</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not sure at all sure Obama is a Muslim</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:53LPxJppDDH/HwkQJWmwog==</notes></var><var ID="v35513232" name="V162256" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R's interest in politics</labl><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.065926000687794</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.911007025761118</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat interested</labl><catStat type="freq">1781</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very interested</labl><catStat type="freq">814</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all interested</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very interested</labl><catStat type="freq">751</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HzArd3kKe8fCQJoTgJu2Mw==</notes></var><var ID="v35512554" name="V162257" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R follows politics in media</labl><sumStat type="stdev">3.0822342687138993</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.974473067915687</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very closely</labl><catStat type="freq">691</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very closely</labl><catStat type="freq">1023</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not at all</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly closely</labl><catStat type="freq">1695</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hmPypKCWj6rYvu/m61/lJQ==</notes></var><var ID="v35513901" name="V162258" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: R understands most important political issues</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.1899425547707465</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.0953161592505918</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1766</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">754</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">418</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">582</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qBd4lJEWPYLAmRtGvTm8ig==</notes></var><var ID="v35513646" name="V162259" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Compromise in politics is selling out on one's principles</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.5191142613034185</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.661592505854803</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1008</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">477</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1069</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">827</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">239</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:By+XKZTS9QIJ5ayTX+SNHQ==</notes></var><var ID="v35513968" name="V162260" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most politicians do not care about the people</labl><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.4000000000000061</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.359843050913929</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">434</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1348</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">895</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">767</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v1kPrsD494yXBFXqC7kwIQ==</notes></var><var ID="v35512777" name="V162261" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most politicians are trustworty</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.078922716627638</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.6240653125556856</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">628</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">639</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">841</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">1459</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L7kyXaiM/pIx8mb8GOyoQQ==</notes></var><var ID="v35513379" name="V162262" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Politicians are the main problem in the U.S.</labl><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.4290398126463755</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.3672669252103784</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1109</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1192</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">694</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">14</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MVh67wBCIlnLQupx32k6pQ==</notes></var><var ID="v35512755" name="V162263" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Strong leader is good for U.S. even if bends rules to get things done</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.722482435597187</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.5484182892705447</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">313</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">915</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">755</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">614</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1029</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R5/phLsyiuGYtzcEAgMweQ==</notes></var><var ID="v35513477" name="V162264" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: People not politicians should make most important policy decisions</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.325679382758658</sumStat><sumStat type="mean">1.2170960187353566</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1277</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">624</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">823</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">699</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k+ilSc3PP6mJLjECQ9Ya8A==</notes></var><var ID="v35513472" name="V162265" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Most politicians only care about interests of rich and powerful</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.1552693208430833</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.2440390381324784</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">701</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1618</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">610</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">570</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nhDfEc0D65wStMQIGkGE5A==</notes></var><var ID="v35513246" name="V162266" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Minorities should adapt to to customs/traditions of U.S.</labl><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.1306791569086625</sumStat><sumStat type="stdev">3.3036774384178345</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1316</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">880</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">465</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">679</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">286</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JFt6CVh6VSwXSAQeFkl5Eg==</notes></var><var ID="v35512582" name="V162267" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: The will of the majority should always prevail</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.9035128805620602</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.6577730459724185</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">940</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">680</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">810</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">936</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UsVEMA6kIALMNGHrj4JgGQ==</notes></var><var ID="v35512597" name="V162268" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Immigrants are generally good for America's economy</labl><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.355861155662504</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.206088992974243</sumStat><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">518</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">603</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1337</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">933</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lp2DLbexEJ7X74X5XxGX0A==</notes></var><var ID="v35514353" name="V162269" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: America's culture is generally harmed by immigrants</labl><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">2.1238875878220114</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.7148119022645116</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">861</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">1034</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">507</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">1048</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l53KSP8S/ZiVfYYlrX7K+A==</notes></var><var ID="v35513729" name="V162270" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Immigrants increase crime rates in the U.S.</labl><sumStat type="mean">1.8526932084309125</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.6412161311924005</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">805</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">779</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">776</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">1040</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+oJc//zT2K6hnSRg2/cSiA==</notes></var><var ID="v35513882" name="V162271" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: To be truly American important to have been born in U.S.</labl><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.2688790390219844</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.0995316159250579</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very important</labl><catStat type="freq">911</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very important</labl><catStat type="freq">961</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly important</labl><catStat type="freq">1026</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not important at all</labl><catStat type="freq">724</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8HgfKgW8bgkme2Ihf9xAzA==</notes></var><var ID="v35513348" name="V162272" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: To be truly American important to have American ancestry</labl><sumStat type="mean">1.3660421545667474</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.3575441710749874</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Not important at all</labl><catStat type="freq">992</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very important</labl><catStat type="freq">1172</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very important</labl><catStat type="freq">532</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly important</labl><catStat type="freq">927</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l9MvN9ycMH5EZ7FgZ3irTQ==</notes></var><var ID="v35513789" name="V162273" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: To be truly American important to speak English</labl><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">0.3857142857142855</sumStat><sumStat type="stdev">2.870098042136388</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very important</labl><catStat type="freq">2186</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly important</labl><catStat type="freq">1034</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not important at all</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very important</labl><catStat type="freq">281</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fHgTmSrj2epWAkqBon/QQQ==</notes></var><var ID="v35513639" name="V162274" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: To be truly American important to follow America's customs/traditions</labl><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.7398126463700253</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.0826033848861756</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very important</labl><catStat type="freq">1239</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not important at all</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very important</labl><catStat type="freq">725</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly important</labl><catStat type="freq">1414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1ZS08DC5Ld8jDwVgE2NVYA==</notes></var><var ID="v35514047" name="V162275" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: How widespread is corruption among politicians in U.S.</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.135906516375098</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">0.7112412177985907</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very widespread</labl><catStat type="freq">980</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very widespread</labl><catStat type="freq">876</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Hardly happens at all</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Quite widespread</labl><catStat type="freq">1647</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:q7YD+tCNwq4OXzjCAJlclg==</notes></var><var ID="v35514393" name="V162276" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Gov should take measures to reduce differences in income levels</labl><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.4468384074941394</sumStat><sumStat type="stdev">3.515698899048463</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Agree strongly</labl><catStat type="freq">644</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disagree strongly</labl><catStat type="freq">614</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Agree somewhat</labl><catStat type="freq">1041</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither agree nor disagree</labl><catStat type="freq">787</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Disagree somewhat</labl><catStat type="freq">530</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zTq1EX1vGP8afDr3lZiGEA==</notes></var><var ID="v35514145" name="V162277" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Gov done a good or bad job in last 8 years</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.2840749414519905</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.3408120751034316</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very good job</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Good job</labl><catStat type="freq">1416</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Very bad job</labl><catStat type="freq">687</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Bad job</labl><catStat type="freq">1269</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mE+H8JG+WK3wI+kgp7zGYQ==</notes></var><var ID="v35513873" name="V162278" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Any parties in the U.S. represent R's views</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">2.8557251018306458</sumStat><sumStat type="mean">0.20679156908665244</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">2108</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1494</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L10yZ4W1wLgZFq5kHK6u6A==</notes></var><var ID="v35513880" name="V162279" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: Which party represents views best</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">0.23021077283371127</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.6028119080731225</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1540</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Republican</labl><catStat type="freq">931</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic</labl><catStat type="freq">1056</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rCvnvaqIM1ZE10F2PkiToQ==</notes></var><var ID="v35514346" name="V162280" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: State of economy</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.428248006081544</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.5238875878220184</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gotten much worse</labl><catStat type="freq">299</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gotten much better</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Gotten somewhat better</labl><catStat type="freq">1077</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Stayed about the same</labl><catStat type="freq">1339</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Gotten somewhat worse</labl><catStat type="freq">659</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+Wc4p83dIHwlfUwYqvZAFw==</notes></var><var ID="v35513755" name="V162281" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 5pt scale: make a difference who is in power</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.798102451187033</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.4152224824355915</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. It makes a big difference who is in power</labl><catStat type="freq">1332</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. It doesn't make any difference who is in power</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qPqHFrKWE4opDr1Ifzzgpw==</notes></var><var ID="v35513628" name="V162282" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 5pt scale: make a difference who one votes for</labl><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">2.4608899297423847</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.8121432087546534</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Who people vote for won't make any difference</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Who people vote for can make a big difference</labl><catStat type="freq">1492</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o+qjgTEsVRfNSUz1+tCIAA==</notes></var><var ID="v35512759" name="V162283" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: like-dislike Democratic Party</labl><sumStat type="medn">5.0</sumStat><sumStat type="mean">3.1845433255269215</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">5.186486663609734</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Strongly dislike</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Strongly like</labl><catStat type="freq">337</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:URJ/AblG0j0NutqKSiCjlg==</notes></var><var ID="v35512809" name="V162284" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: like-dislike Republican Party</labl><sumStat type="mean">3.106791569086649</sumStat><sumStat type="max">10.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">4.931037726752866</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Strongly like</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Strongly dislike</labl><catStat type="freq">404</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ka09fCad9bhAFxCQXeiOKQ==</notes></var><var ID="v35512902" name="V162285" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: like-dislike Democratic Pres cand</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">5.007362363097013</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">2.6351288056206057</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Strongly dislike</labl><catStat type="freq">830</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Strongly like</labl><catStat type="freq">295</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jYMSfxF+1NC7bPyD0yyaig==</notes></var><var ID="v35513493" name="V162286" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: like-dislike Republican Pres cand</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">2.431850117096019</sumStat><sumStat type="stdev">4.933231127443336</sumStat><sumStat type="max">10.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Strongly like</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Strongly dislike</labl><catStat type="freq">996</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YIgsi0CSeYeLbPSmzis4Xw==</notes></var><var ID="v35512946" name="V162287" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: left-right Democratic Party</labl><sumStat type="mean">1.4911007025761098</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">4.690994093581331</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. Right</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Left</labl><catStat type="freq">595</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AJ55Q1ivay3Ujc2RXAeXEw==</notes></var><var ID="v35513847" name="V162288" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: left-right Republican Party</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.332084309133489</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.864781963102829</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Right</labl><catStat type="freq">621</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Left</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">93</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZPbbfYrCM3RoyURXy6TMqQ==</notes></var><var ID="v35513255" name="V162289" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: 10pt scale: left-right self placement</labl><sumStat type="mean">3.5070257611241242</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">5.246093912766976</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Right</labl><catStat type="freq">283</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Left</labl><catStat type="freq">88</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0OmihyvdYtyFbIrsIBG6RA==</notes></var><var ID="v35513973" name="V162290" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: Satisfied with way democracy works in the U.S</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.2440281030444955</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">3.4192393361683266</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly satisfied</labl><catStat type="freq">2067</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all satisfied</labl><catStat type="freq">233</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very satisfied</labl><catStat type="freq">343</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Not very satisfied</labl><catStat type="freq">963</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S/tAS4eTb34y6FEzB+gJ/w==</notes></var><var ID="v35513062" name="V162291" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: Close to any political party</labl><sumStat type="mean">1.4327868852459074</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.7268598871472194</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. No</labl><catStat type="freq">1629</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1996</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z3lODzD3DpDziUn4Sz6GLQ==</notes></var><var ID="v35513629" name="V162292a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: Which party R is closest to</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">-0.2969555035128741</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9619852897623176</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Other</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Republican</labl><catStat type="freq">912</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1652</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic</labl><catStat type="freq">1015</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DRd/YmKH9+l8eaDmDGBSgw==</notes></var><var ID="v35514064" name="V162293" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: Closer to one party</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.6057764440374176</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">-0.6601873536299854</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Democratic</labl><catStat type="freq">601</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Republican</labl><catStat type="freq">565</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2019</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Other</labl><catStat type="freq">299</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">105</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EPNZ3Z7XGs0k+18TkXrUtg==</notes></var><var ID="v35514017" name="V162292b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: CSES: Degree closeness</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.6977389974394015</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.46721311475410515</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1654</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very close</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat close</labl><catStat type="freq">1209</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not very close</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2RBTxbSwN7mN8u4OF0jtgg==</notes></var><var ID="v35514321" name="V162294" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: How worried about terrorist attack in next 12 months</labl><sumStat type="max">5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.5496487119437905</sumStat><sumStat type="stdev">3.520610748228285</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Not likely at all</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">960</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">774</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">1285</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">342</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HMdcmhu4CIK9OXUgw+p/QQ==</notes></var><var ID="v35512947" name="V162295" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: Favor or oppose torture for suspected terrorists</labl><sumStat type="stdev">3.0878917715207477</sumStat><sumStat type="mean">0.8114754098360631</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Oppose</labl><catStat type="freq">1571</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Neither favor nor oppose</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor</labl><catStat type="freq">870</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9wRsQSHgbCk7qUhD54cPJw==</notes></var><var ID="v35512798" name="V162295a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: How much favor torture for suspected terrorists</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.179625292740043</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.3702313347234454</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2777</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">376</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">318</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3H+xhScQ899QGuLdNvdHWw==</notes></var><var ID="v35514196" name="V162295b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: DHS: How much oppose torture for suspected terrorists</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-0.8451990632318497</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.5021273020286907</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2077</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">501</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">943</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mXq5SLAwmGQPkYTDEOLD/g==</notes></var><var ID="v35514317" name="V162295x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: SUMMARY- Favor/oppose torture for suspected terrorists</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.901405152224835</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">4.319503985417665</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Favor a great deal</labl><catStat type="freq">318</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error: programming</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither favor nor oppose</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Favor moderately</labl><catStat type="freq">376</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Favor a little</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Oppose moderately</labl><catStat type="freq">501</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Oppose a great deal</labl><catStat type="freq">943</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Oppose a little</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RbFXUWn+UgVNhCbpr399sA==</notes></var><var ID="v35512854" name="V162296a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: WEB ONLY: R has any living sons or daughters</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.5030444964871184</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.047660009692626</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. One or more daughters (birth adopted or step daughter)</labl><catStat type="freq">756</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No sons and no daughters</labl><catStat type="freq">1014</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One or more sons (birth, adopted, or stepson)</labl><catStat type="freq">1822</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">526</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:azbiQy0R46GBWdrnmEKe7g==</notes></var><var ID="v35512940" name="V162296b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: FTF ONLY: R has any living sons or daughters (2nd mention - </labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.0741846909795028</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.5597189695550546</sumStat><catgry><catValu>2</catValu><labl level="category">2. One or more daughters (birth, adopted, or step daughter)</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One or more sons (birth, adopted, or stepson)</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3294</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2E2Eg1XU7EGAi76V8g8t/Q==</notes></var><var ID="v35513359" name="V162296c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: WEB ONLY: R has any living sons or daughters</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.350622912464461</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.1836065573770416</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2844</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. One or more daughters (birth, adopted, or step daughter)</labl><catStat type="freq">804</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oj1LM9lVrOw/FOGBQCYKLQ==</notes></var><var ID="v35513029" name="V162296x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: FTF/WEB: SUMMARY- R has living sons or daughters</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.2592505854800955</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="stdev">3.4208929669018975</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">526</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. One or more daughters</labl><catStat type="freq">717</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. One or more sons</labl><catStat type="freq">734</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No sons and no daughters</labl><catStat type="freq">1014</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Both sons and daughters</labl><catStat type="freq">1127</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1x87JZGnbdwuUb+rX7T9uw==</notes></var><var ID="v35514014" name="V162297" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: In past 12 months any family members stopped/questioned by p</labl><sumStat type="mean">0.5213114754098339</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9271453765094897</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Was not stopped or questioned in the past 12 months</labl><catStat type="freq">2772</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Was stopped or questioned in the past 12 months</labl><catStat type="freq">826</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EZ+9Y+jLBadwTksDCcChmQ==</notes></var><var ID="v35513244" name="V162298" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Has R ever been arrested</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.5372365339578452</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.9411969249599403</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have been arrested</labl><catStat type="freq">736</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Never arrested</labl><catStat type="freq">2860</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9u54Roqpy2MRuxhpF0GlNQ==</notes></var><var ID="v35513350" name="V162299" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: RESTRICTED- CASI/WEB: Total income amount</labl><sumStat type="max">-3.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.4716627634660417</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1219890807824378</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">3617</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BDxkaphAxr/Ywmjv0dUVQA==</notes></var><var ID="v35513267" name="V162299a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB:Confirm total income amount</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.7644028103044493</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.8498946952464488</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Is right</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3589</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VxwOuwQosQIQB3H3/kPqEg==</notes></var><var ID="v35513429" name="V162300" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - ge or lt 40K</labl><sumStat type="stdev">1.942377110970939</sumStat><sumStat type="mean">-1.8096018735362986</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. $40,000 or more</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3555</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $40,000 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ThpoRm5S/1zBGR8q6BSmtg==</notes></var><var ID="v35513407" name="V162301" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - ge or lt 20K</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.8498287411935928</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.7803278688524615</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $20,000 or more</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3608</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bLaVbchjAIgWk58x764uJA==</notes></var><var ID="v35513708" name="V162302" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - categories lt 20K</labl><sumStat type="stdev">1.837293685737589</sumStat><sumStat type="mean">-1.7775175644028074</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3617</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m7qNiXwJPsbsS89St6kK2g==</notes></var><var ID="v35512627" name="V162303" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - categories 20-40K</labl><sumStat type="max">9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.8636709211100675</sumStat><sumStat type="mean">-1.7805620608899273</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3611</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. $22,500-24,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. $25,000-27,499 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hT4FwlSaK0UdWLNL+wRUuQ==</notes></var><var ID="v35514137" name="V162304" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - ge or lt 70K</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">1.8718291693899913</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.783840749414521</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $70,000 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $70,000 or more</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3591</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NbQ94Gyj6mjxHxxwVhW/Hg==</notes></var><var ID="v35513040" name="V162305" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - categories 40-70K</labl><sumStat type="mean">-1.779391100702573</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">1.8405766163975912</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3616</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LdFzGjXVMSh1BZtUJ38Znw==</notes></var><var ID="v35514021" name="V162306" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - ge or lt 100K</labl><sumStat type="stdev">1.8662617572808575</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.7850117096018758</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. $100,000 or more</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3600</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $100,000 </labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oytTndrTwcH0nkwhQ/TKeQ==</notes></var><var ID="v35512725" name="V162307" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missng - categories 70-100K</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">22.0</sumStat><sumStat type="stdev">1.9651252656074496</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.7569086651053876</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. $90,000-99,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3613</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. $75,000-79,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8er8SIGqfTGrrT690WK2kw==</notes></var><var ID="v35513858" name="V162308" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Total income amt missing - categories 100+K</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.9088203720062689</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.7800936768149875</sumStat><sumStat type="max">28.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. $250,000 or more</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3611</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xvdnm5XJTPhlOWMSwoMyLw==</notes></var><var ID="v35513221" name="V162309x" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: SUMMARY- Total income</labl><sumStat type="stdev">3.1095245514610785</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.456908665105384</sumStat><sumStat type="max">28.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>11</catValu><labl level="category">11. $30,000-34,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. $55,000-59,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. $80,000-89,999 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. $22,500-24,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. $75,000-79,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. $25,000-27,499 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $12,500-14,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. $90,000-99,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. $17,500-19,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3559</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $10,000-12,499 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $5,000-9,999 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Under $5,000 </labl><catStat type="freq">25</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. $175,000-249,999 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. $70,000-74,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $15,000-17,499 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. $250,000 or more</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. $27,500-29,999 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. $60,000-64,999 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. $40,000-44,999 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. $50,000-54,999 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. $45,000-49,999 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. $110,000-124,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. $100,000-109,999 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. $20,000-22,499 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. $35,000-39,999 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. $150,000-174,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. $125,000-149,999 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. $65,000-69,999 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K8aF+Sad9sycVH7259Yyog==</notes></var><var ID="v35513719" name="V162310" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Feeling thermometer: ASIAN-AMERICANS</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">33.54594405047859</sumStat><sumStat type="mean">56.50655737704919</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">100.0</sumStat><sumStat type="medn">60.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bWGk2BTK70mCEBjU5DfU9w==</notes></var><var ID="v35512632" name="V162311" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Feeling thermometer: HISPANICS</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">55.93793911007029</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">60.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">33.82894341354754</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lKJG9I1oXcQbknNQh7kmbA==</notes></var><var ID="v35514140" name="V162312" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Feeling thermometer: BLACKS</labl><sumStat type="max">100.0</sumStat><sumStat type="mean">56.190163934426245</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">60.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">33.76810945180052</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">47</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gv2HoDXIIdVTpg3GFWreGg==</notes></var><var ID="v35513026" name="V162313" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Feeling thermometer: ILLEGAL IMMIGRANTS</labl><sumStat type="stdev">30.53555750826912</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">33.74262295081969</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">39.0</sumStat><sumStat type="max">100.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CgDhYlpIYWlzz7eMYzcvuA==</notes></var><var ID="v35513153" name="V162314" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Feeling thermometer: WHITES</labl><sumStat type="medn">70.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">58.988992974238855</sumStat><sumStat type="stdev">33.96656370133252</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">100.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">45</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qzhLHZfX+d9s9musyZF8wA==</notes></var><var ID="v35513753" name="V162316" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important whites work together to change laws unfair to </labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.5798594847775167</sumStat><sumStat type="stdev">3.5727642838157347</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">394</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">571</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">319</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">551</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1023</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">728</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VTIexPVzy1ltidL9SACipA==</notes></var><var ID="v35513664" name="V162317" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How likely whites unable to find job b/c employers hire mino</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.8634660421545659</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.682510140231244</sumStat><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">691</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">342</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1023</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">837</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all likely</labl><catStat type="freq">516</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rrJuoF+QnIYkLQxWj7JlwA==</notes></var><var ID="v35512712" name="V162318" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Federal gov treats blacks or whites better</labl><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.0897288801810507</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.47939110070257923</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Treat blacks better</labl><catStat type="freq">672</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Treat both the same</labl><catStat type="freq">1539</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Treat whites better</labl><catStat type="freq">1358</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e00zNk9KknKjmbwIahNDPg==</notes></var><var ID="v35513050" name="V162319" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much federal gov treats blacks or whites better</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.7796011591518632</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.45058548009368227</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">836</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1587</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">791</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l8dpuR51Xkh2/12ahuMsmw==</notes></var><var ID="v35513120" name="V162320" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Police treat blacks or whites better</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.1997658079625272</sumStat><sumStat type="stdev">2.8851929220866896</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Treat both the same</labl><catStat type="freq">1471</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Treat blacks better</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Treat whites better</labl><catStat type="freq">2055</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FmDeWtTs+i1KagG/lUEUrA==</notes></var><var ID="v35513519" name="V162321" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much police treat blacks or whites better</labl><sumStat type="max">3.0</sumStat><sumStat type="stdev">2.7306319527272764</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.4911007025761132</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Moderately</labl><catStat type="freq">741</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1508</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Much</labl><catStat type="freq">1071</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mMISXMh3Nk4UROfg4Em5Sg==</notes></var><var ID="v35512800" name="V162322" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much influence do whites have in U.S. politics</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.3854800936768166</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.0516556863706463</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just about the right amount of influence</labl><catStat type="freq">2120</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Too much influence</labl><catStat type="freq">1226</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Too little influence</labl><catStat type="freq">216</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kbbSzb2cllOvsfx6lFESOg==</notes></var><var ID="v35513597" name="V162323" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much influence do blacks have in U.S. politics</labl><sumStat type="stdev">3.2802210332731794</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.9145199063231895</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Too little influence</labl><catStat type="freq">1550</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Too much influence</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just about the right amount of influence</labl><catStat type="freq">1681</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qbT/XddBVGO/B6jOdxEOvg==</notes></var><var ID="v35512951" name="V162324" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much influence do Hispanics have in U.S. politics</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">3.300501173997585</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.939812646370025</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Too little influence</labl><catStat type="freq">1608</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just about the right amount of influence</labl><catStat type="freq">1703</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Too much influence</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">55</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w3yaJ0zljwrwEI1gLCyR+w==</notes></var><var ID="v35512907" name="V162325" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much influence do Asian-Americans have in U.S. politics</labl><sumStat type="mean">0.9426229508196751</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.319940627157336</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Just about the right amount of influence</labl><catStat type="freq">1899</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Too much influence</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Too little influence</labl><catStat type="freq">1546</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HWTPs9ij0Fp3zV20NubSIg==</notes></var><var ID="v35512909" name="V162326" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being Hispanic to identity</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">-1.505854800936766</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.194957573954098</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3261</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pgdsEElubu5GVoshjeAYaA==</notes></var><var ID="v35514295" name="V162327" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being White to identity</labl><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.7338728023213106</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.134660421545667</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">494</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">838</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">485</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">307</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">767</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">701</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s5Qlp24Ludik91Ph0kud6Q==</notes></var><var ID="v35513108" name="V162328" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being Black to identity</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.5248243559718953</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.1502950283376614</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">225</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3219</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lnsQiREPIDxbp1RokXNLfQ==</notes></var><var ID="v35512590" name="V162329" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being Native American to identity</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">2.0034427155111376</sumStat><sumStat type="mean">-1.6814988290398145</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3503</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hP5Gz9WM/tu/5D6lKHqAcQ==</notes></var><var ID="v35512679" name="V162330" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being Asian to identity</labl><sumStat type="stdev">2.0037666212776726</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.6627634660421555</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3486</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JViR1/ETqKm7ESIGqRZePw==</notes></var><var ID="v35512595" name="V162331" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being Pacific Islander to identity</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.875474689888446</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-1.754098360655737</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3592</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zfl15B5wTnpfsJkYGFP07g==</notes></var><var ID="v35513969" name="V162332" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How important is being American to identity</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.1424127243266575</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">0.6850117096018774</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately important</labl><catStat type="freq">595</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely important</labl><catStat type="freq">1579</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very important</labl><catStat type="freq">1059</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not at all important</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little important</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:B0bO/Qi9PjS+1Pzvci7fqg==</notes></var><var ID="v35513338" name="V162333" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI extraverted, enthusiastic</labl><sumStat type="stdev">4.278398723282202</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">3.04121779859484</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">272</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">1045</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">681</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">412</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">739</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">317</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ErYBQC3H/6VYF+lfCOn+1g==</notes></var><var ID="v35512859" name="V162334" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI critical, quarrelsome</labl><sumStat type="max">7.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.7707259953161554</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.7977857448072094</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">818</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">568</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">422</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">301</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">730</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">690</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W7Gb8RRhpu8HxR/UTFyXKg==</notes></var><var ID="v35513442" name="V162335" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI dependable, self-disciplined</labl><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="stdev">4.556927254630699</sumStat><sumStat type="mean">4.080562060889936</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">1413</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">1389</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">382</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GsZb0OH7WknpJMMDOTSAOg==</notes></var><var ID="v35512920" name="V162336" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI anxious, easily upset</labl><sumStat type="mean">1.959484777517568</sumStat><sumStat type="stdev">3.841068129123958</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">642</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">728</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">339</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">748</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">548</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">478</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">117</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ekCas9mOKhn1/YM6to8Udw==</notes></var><var ID="v35514376" name="V162337" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI open to new experiences</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.5058548009367687</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.363849707039689</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">1224</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">645</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">849</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">554</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vesRuWOtsA/TQ0gkqzRJ1A==</notes></var><var ID="v35514411" name="V162338" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI reserved, quiet</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.689695550351288</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">4.16900650921596</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">726</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">760</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">648</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">419</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">388</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5s/rOwtMJQ0rCssfv13qmw==</notes></var><var ID="v35512581" name="V162339" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI sympathetic, warm</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">3.8161592505854793</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">4.467699462755665</sumStat><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">127</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">996</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">1354</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">667</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:97T9ACr2VhpY1Yzlk4vZxA==</notes></var><var ID="v35513245" name="V162340" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI disorganized, careless</labl><sumStat type="mean">1.2079625292740022</sumStat><sumStat type="stdev">3.5056868859109613</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">910</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">1149</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">506</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">535</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">315</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8svp4hj0+GwKFLTEn4qLrw==</notes></var><var ID="v35514025" name="V162341" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI calm, emotionally stable</labl><sumStat type="mean">3.5831381733020997</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.404154482280288</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">686</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">550</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">752</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">1299</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:w4DGEeyG95TfcfIFFxNxUg==</notes></var><var ID="v35513203" name="V162342" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: TIPI conventional, uncreative</labl><sumStat type="mean">1.7234192037470677</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.7362179967309896</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Extremely well</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely poorly</labl><catStat type="freq">552</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Neither poorly nor well</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat poorly</labl><catStat type="freq">762</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Somewhat well</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. A little well</labl><catStat type="freq">407</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A little poorly</labl><catStat type="freq">686</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4UOv5EKxEVlaJFkhEE2LsA==</notes></var><var ID="v35514094" name="V162343" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How hard is it for R to control temper</labl><sumStat type="stdev">3.9144001547891225</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.649648711943796</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very hard</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately hard</labl><catStat type="freq">434</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little bit hard</labl><catStat type="freq">1213</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not hard at all</labl><catStat type="freq">1826</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely hard</labl><catStat type="freq">43</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xgOVscNm/lqLD8R4TfCG8Q==</notes></var><var ID="v35512820" name="V162344" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: When provoked, how likely for R to hit someone</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">2.9391100702576134</sumStat><sumStat type="stdev">4.028830529046748</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Extremely likely</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Moderately likely</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Slightly likely</labl><catStat type="freq">447</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Very likely</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Not very likely</labl><catStat type="freq">2827</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0LDAEkOLhfxby0My0CnSDw==</notes></var><var ID="v35514232" name="V162345" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: stereotype: Whites hardworking</labl><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.5597189695550346</sumStat><sumStat type="stdev">3.7060620811891436</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Lazy</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hard-working</labl><catStat type="freq">456</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QKAwU7fRa6Geh2ZSIw1mBA==</notes></var><var ID="v35513154" name="V162346" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Blacks hardworking</labl><sumStat type="stdev">4.004967400233598</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.1599531615925023</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Lazy</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hard-working</labl><catStat type="freq">258</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:opd8ular9VbVIgmUvT1Hfw==</notes></var><var ID="v35513750" name="V162347" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Hispanics hardworking</labl><sumStat type="min">-9.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.6198589483235213</sumStat><sumStat type="mean">1.2613583138173305</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hard-working</labl><catStat type="freq">767</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Lazy</labl><catStat type="freq">37</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">57</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vPPk4+EDORL2MZTLunG4vg==</notes></var><var ID="v35513055" name="V162348" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Asians hardworking</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.110538641686187</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.5500578440325645</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Hard-working</labl><catStat type="freq">877</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Lazy</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XPvNo95eDUt+AzOovRHbUQ==</notes></var><var ID="v35513885" name="V162349" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: stereotype: Whites violent</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.8516240169266673</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">1.703512880562058</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">317</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">67</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yrTVYx1Yv1EODBiABzA1Bg==</notes></var><var ID="v35513665" name="V162350" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Blacks violent</labl><sumStat type="max">7.0</sumStat><sumStat type="stdev">4.1474549684104565</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.4302107728337194</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">132</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3YqPtzJpbIW2DhOvJeMxVQ==</notes></var><var ID="v35513270" name="V162351" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Hispanics violent</labl><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.8283372365339552</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">3.860630436611461</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k8X7L7RDX55sWM9oCyit0Q==</notes></var><var ID="v35513863" name="V162352" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Asians violent</labl><sumStat type="medn">2.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">1.2637002341920405</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.6138600458629515</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">583</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l4HS8TxAuoA0CJYCZBCS9w==</notes></var><var ID="v35513169" name="V162353" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Muslims violent</labl><sumStat type="mean">2.2414519906323207</sumStat><sumStat type="stdev">4.1605759089948515</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">250</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pd07EU5G+L8Vh3oxdtBnJw==</notes></var><var ID="v35513571" name="V162354" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Christians violent</labl><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.6466095505400973</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.2573770491803289</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Violent</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Peaceful</labl><catStat type="freq">800</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PQQUWj+hGRsis98C2OHYsQ==</notes></var><var ID="v35513210" name="V162355" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Muslims patriotic</labl><sumStat type="mean">2.489929742388754</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">4.384192600655735</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Unpatriotic</labl><catStat type="freq">534</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Patriotic</labl><catStat type="freq">208</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">88</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2VxeEfiuvHPXwZnJ1LUCzQ==</notes></var><var ID="v35512573" name="V162356" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Stereotype: Christians patriotic</labl><sumStat type="max">7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.0201405152224812</sumStat><sumStat type="stdev">3.557915826802863</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Unpatriotic</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Patriotic</labl><catStat type="freq">1001</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OI9e5WVw/mnzDC8AfQBe1A==</notes></var><var ID="v35514215" name="V162357" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Blacks</labl><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.973770491803279</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.6122388421936757</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1157</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1000</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">661</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">582</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DXBkU2rbo+emoko5cDMTHg==</notes></var><var ID="v35512633" name="V162358" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Hispanics</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.2611241217798608</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.7335677800578484</sumStat><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">801</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">298</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1411</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">854</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZsIgv6EoLOZM1fwncOW4jw==</notes></var><var ID="v35513185" name="V162359" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Asian-Americans</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.7611241217798608</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.9599289031873104</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1584</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1140</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">416</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QVghKs67uV+a4LdCnUcPQQ==</notes></var><var ID="v35512803" name="V162360" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Whites</labl><sumStat type="stdev">4.162931600658025</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="mean">2.079859484777514</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">1141</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1495</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">599</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">118</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zdtXEniW1d2YfDaHdMm8Ew==</notes></var><var ID="v35513670" name="V162361" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Gays and Lesbians</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.8606557377049189</sumStat><sumStat type="stdev">3.625929179996471</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">744</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1015</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">509</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1104</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6/eId1nzmTe3r/133h9XWA==</notes></var><var ID="v35514119" name="V162362" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Women</labl><sumStat type="stdev">3.792178676433642</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.4414519906323202</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">638</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">264</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">1258</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1113</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">247</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JqnAH6W/AiJUGw3hv/PpZQ==</notes></var><var ID="v35512962" name="V162363" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Men</labl><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.2522248243559693</sumStat><sumStat type="stdev">4.196211128410055</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1288</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">483</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">1527</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">85</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nK6gyyMzSnBwbI1rCecH4A==</notes></var><var ID="v35514104" name="V162364" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Muslims</labl><sumStat type="mean">0.7065573770491809</sumStat><sumStat type="stdev">3.555381748190626</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1140</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">815</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1017</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:olXCmOO7ZkczSu+FCU42Gw==</notes></var><var ID="v35513181" name="V162365" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Christians</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.8555035128805581</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">4.063499423309219</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1324</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">335</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">872</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">807</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u7itZ5eQVnlsKHbtiO/0Dg==</notes></var><var ID="v35513870" name="V162366" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination in the U.S. against Transgender</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.5149734984242462</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.7074941451990627</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">404</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">791</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">1084</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">1109</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GmSTbsdN1D8008KMidtung==</notes></var><var ID="v35513229" name="V162367" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: How much discrimination has R faced personal</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.4496487119437993</sumStat><sumStat type="stdev">3.885352618975529</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">1116</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">1616</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">550</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7hXvvZfAn3ZLXBCSqOL56g==</notes></var><var ID="v35513773" name="V162368" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: R rate own skintone</labl><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">1.0400468384074888</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.560873501851705</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. Skin tone 10 </labl><catStat type="freq">22</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Skin tone 6 </labl><catStat type="freq">107</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Skin tone 2 </labl><catStat type="freq">1090</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Skin tone 4 </labl><catStat type="freq">290</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Skin tone 9 </labl><catStat type="freq">12</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Skin tone 8 </labl><catStat type="freq">24</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Skin tone 1 </labl><catStat type="freq">1198</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Skin tone 7 </labl><catStat type="freq">48</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Skin tone 5 </labl><catStat type="freq">190</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Skin tone 3 </labl><catStat type="freq">596</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XsFgyiK6xEf7Kl2i7LRtbw==</notes></var><var ID="v35513289" name="V162369" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Discrimination due to skintone</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.6337236533957826</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">3.9960493430744983</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A moderate amount</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. A great deal</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A little</labl><catStat type="freq">923</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None at all</labl><catStat type="freq">2077</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. A lot</labl><catStat type="freq">107</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NsYpOTegy6z7baeIJyZFew==</notes></var><var ID="v35513510" name="V162370" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: Facebook account used recently</labl><sumStat type="min">-9.0</sumStat><sumStat type="stdev">3.224929951037439</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.3655737704918078</sumStat><catgry><catValu>2</catValu><labl level="category">2. Have a Facebook account but have not used it in past month</labl><catStat type="freq">321</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No, do not have a Facebook account</labl><catStat type="freq">1203</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes have a Facebook account I have used in the past month</labl><catStat type="freq">2012</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Evfv9J9dRvxmozVXmnu5Qw==</notes></var><var ID="v35513736" name="V162371a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: WEB ONLY: Facebook login</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">-0.8896955503513108</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.5419896831732367</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decline</labl><catStat type="freq">1016</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Logged into facebook</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2227</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g09w6t8fEJtdrtfHsFuaVQ==</notes></var><var ID="v35512971" name="V162371b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST: FTF CASI/WEB: WEB ONLY: Facebook login reconsider</labl><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.448654632972182</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0885245901639218</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Logged into facebook</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2600</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Error</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Decline</labl><catStat type="freq">913</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9iL1CdHzLB+NPeLpUPh4IA==</notes></var><var ID="v35512780" name="V163001a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE: Sample location FIPS state</labl><sumStat type="max">56.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">15.754706642514467</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">27.88946135831381</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">27.0</sumStat><catgry><catValu>32</catValu><labl level="category">32. Nevada</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Vermont</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Illinois</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. North Dakota</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Georgia</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Arizona</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Idaho</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Kansas</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Iowa</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Connecticut</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Nebraska</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Virginia</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Hawaii</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Ohio</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. Mississippi</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Washington</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. Minnesota</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Wyoming</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. Pennsylvania</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. South Dakota</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Delaware</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Wisconsin</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. Louisiana</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Oregon</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Utah</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. Tennessee</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. Montana</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. New Hampshire</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Arkansas</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Oklahoma</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Kentucky</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Colorado</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Maine</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Massachusetts</labl><catStat type="freq">113</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. California</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. West Virginia</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. New Jersey</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. Rhode Island</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. North Carolina</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. South Carolina</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Missouri</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Alabama</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. New Mexico</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. New York</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Texas</labl><catStat type="freq">329</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Alaska</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Michigan</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Indiana</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Florida</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington DC</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Maryland</labl><catStat type="freq">97</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jzJri97U3IwanlExDP42Vg==</notes></var><var ID="v35513072" name="V163001b" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">SAMPLE: Sample location state postal abbreviation</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fG6CmKwgq7zlgE/3yQ96ow==</notes></var><var ID="v35512764" name="V163002" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE: Sample location Congressional district (115th Congress)</labl><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">9.907494024877211</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">9.228337236533962</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">53.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YYUz5UsHQjtm9FlYi/hbAQ==</notes></var><var ID="v35513252" name="V163003" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">SAMPLE: Census region</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.9964189639965104</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.658313817330211</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Midwest</labl><catStat type="freq">1001</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. West</labl><catStat type="freq">940</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Northeast</labl><catStat type="freq">699</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. South</labl><catStat type="freq">1630</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Qe2CrfHit+9IbdZ7msL1LA==</notes></var><var ID="v35513805" name="V163004" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">SAMPLE: Time zone (majority of state)</labl><sumStat type="stdev">1.0605598341131246</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">1.90655737704918</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Mountain</labl><catStat type="freq">341</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Central</labl><catStat type="freq">1368</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Eastern</labl><catStat type="freq">1962</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Hawaii-Aleutian</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Alaska</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Pacific</labl><catStat type="freq">585</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uOe6ZVdEUwWB+zIwecFd5w==</notes></var><var ID="v35514007" name="V163005" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE:�RESTRICTED: County FIPS code</labl><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35514193" name="V163006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE:�RESTRICTED: County name</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512884" name="V163007" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE: RESTRICTED: Zip code</labl><sumStat type="min">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512831" name="V163008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">SAMPLE: RESTRICTED: Census tract</labl><sumStat type="stdev">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513952" name="V164001a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Pre Web device logins: smartTV</labl><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">-0.2761124121779714</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.4476490385975723</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TMnMOChrR3kHs0Wo8nyRSw==</notes></var><var ID="v35513254" name="V164001b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Pre Web device logins: phone</labl><sumStat type="mean">-0.17658079625293946</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6371158660376914</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xAWCwH4GzIbsnSpaVC1EeQ==</notes></var><var ID="v35514071" name="V164001c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Pre Web device logins: tablet</labl><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.031615925058559424</sumStat><sumStat type="stdev">0.9107169957060254</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:j0S9gT6ce7y5iihK2YnlZw==</notes></var><var ID="v35513603" name="V164001d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Pre Web device logins: desktop/laptop</labl><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.3872719077265667</sumStat><sumStat type="mean">0.560655737704879</sumStat><sumStat type="max">29.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LuDV8fOONcBlRlf0Fz7OfQ==</notes></var><var ID="v35514275" name="V164002" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Beginning date of Pre IW (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lNBBtX/UtjLN6HGo10fDnA==</notes></var><var ID="v35513579" name="V164002a" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Date IWR first opened IW in CAPI (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fKuI7M1eUGHzVhXe1WngvA==</notes></var><var ID="v35514246" name="V164003" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Beginning time of Pre IW (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:m21vKvF7Izfo29BC+jrV0Q==</notes></var><var ID="v35514105" name="V164003a" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Time IWR first opened IW in CAPI (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ls5294Z/KHMbQxvP+DfI4A==</notes></var><var ID="v35513434" name="V164004" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Ending date of Pre IW (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SmoJjaZiz7eHlomVK2vB+w==</notes></var><var ID="v35513543" name="V164005" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Ending time of Pre IW (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0chcCOUcreGG3k0xk/PyZg==</notes></var><var ID="v35513475" name="V164006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Elapsed time interview start to end (minutes)</labl><sumStat type="max">76989.7</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">19.7833333333333</sumStat><sumStat type="stdev">8978.389452113239</sumStat><sumStat type="medn">71.52500000000005</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2082.266276346606</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2VweXdwysT2l0JmsaorzMw==</notes></var><var ID="v35513972" name="V164007" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Pre interview language</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.0147540983606558</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.12058117619388978</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. English</labl><catStat type="freq">4207</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Spanish</labl><catStat type="freq">63</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NwuRga6M0iKGVotZa4LEPg==</notes></var><var ID="v35512634" name="V164008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: FTF Initial incentive offer</labl><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">16.3999496154984</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">8.398126463700045</sumStat><sumStat type="max">50.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web cases</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HVjAVCoosoIA93S1b0VhzA==</notes></var><var ID="v35514123" name="V164009" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: FTF pre incentive paid</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">13.690866510538713</sumStat><sumStat type="stdev">28.47523589394973</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">100.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web cases</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3SOcHQnpFEFzvg1psJ45+w==</notes></var><var ID="v35514174" name="V164010" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Predicted probabilities of response by block group calculated from re</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">0.499</sumStat><sumStat type="min">-4.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.6234319665809313</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.6580021077283472</sumStat><catgry><catValu>-4</catValu><labl level="category">-4. Missing, due to estimate response propensity unavailable</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web cases</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/naR6pceB7/LpounNvTofg==</notes></var><var ID="v35512877" name="V164011" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Internet prepaid incentive</labl><sumStat type="stdev">7.608353542201592</sumStat><sumStat type="medn">10.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">20.0</sumStat><sumStat type="mean">9.435597189695715</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, FTF cases</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:N2mnW/yT0YOqqDcvmohptg==</notes></var><var ID="v35512731" name="V164012" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Internet screener respondent incentive paid</labl><sumStat type="max">80.0</sumStat><sumStat type="mean">12.040281030444556</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">24.07225922116477</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, FTF cases/Web selected for Pre &amp; paid Pre incentive</labl><catStat type="freq">3188</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a9Ea151epbLTYr82YywesQ==</notes></var><var ID="v35513192" name="V164013" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE ADMIN: Internet respondent incentive paid (pre-election)</labl><sumStat type="mean">39.442622950820166</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">29.922416438743394</sumStat><sumStat type="max">80.0</sumStat><sumStat type="medn">40.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, FTF cases</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3HdrKH0Nr+bEDa/59ql80Q==</notes></var><var ID="v35512826" name="V165001a" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Post Web device logins: smartTV</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">1.9383200450756675</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.9988290398126456</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qD/+2Q+sWpGyRQHQ3JQ5mg==</notes></var><var ID="v35513538" name="V165001b" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Post Web device logins: phone</labl><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.1071591647753385</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.8430913348946161</sumStat><sumStat type="max">9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xh4zcEPCsaR6zO329WYISw==</notes></var><var ID="v35514233" name="V165001c" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Post Web device logins: tablet</labl><sumStat type="min">-7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.5730679156908767</sumStat><sumStat type="stdev">2.436386870258016</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AeH7CzuZQUT+XUoMQbjF9g==</notes></var><var ID="v35513149" name="V165001d" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Post Web device logins: desktop/laptop</labl><sumStat type="max">70.0</sumStat><sumStat type="stdev">3.153110808744944</sumStat><sumStat type="mean">0.2519906323185086</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. INAP, FTF mode</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:y9SxLJWDJg07ylCAJJrxdg==</notes></var><var ID="v35512558" name="V165002" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Beginning date of Post IW (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dw68yFzy591bAJ0cNNJ3OQ==</notes></var><var ID="v35513200" name="V165002a" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Date IWR first opened IW in CAPI (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AVN4FvUtf9hF24Ke0DS/LA==</notes></var><var ID="v35513663" name="V165003" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Beginning time of Post IW (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Rs9Ez5RAxcef/cZO/kg7PA==</notes></var><var ID="v35513141" name="V165003a" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Time IWR first opened IW in CAPI (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8EzX8UhPYQhiLkuXJSj1uQ==</notes></var><var ID="v35513216" name="V165004" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Ending date of Post IW (YYYYMMDD)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tOXkxBn49lAFnKopkWWiKg==</notes></var><var ID="v35512923" name="V165005" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Ending time of Post IW (HHMMSS)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+CeqAHE+uRtJNdzQ/HW8A==</notes></var><var ID="v35514144" name="V165006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Elapsed time interview start to end (minutes)</labl><sumStat type="mean">928.6159992193587</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">71635.2666666667</sumStat><sumStat type="stdev">5150.785158047834</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">68.1</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uTmKcDNdKdfKfRYN0tro5w==</notes></var><var ID="v35514221" name="V165007" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Post interview language</labl><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.528611488939482</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.028805620608897495</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. English</labl><catStat type="freq">3601</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Spanish</labl><catStat type="freq">47</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CVcQNEXudlwoxyZg0yX+gw==</notes></var><var ID="v35514294" name="V165008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: FTF post incentive paid</labl><sumStat type="max">100.0</sumStat><sumStat type="mean">12.87868852458934</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">30.115049016135586</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Web cases</labl><catStat type="freq">2590</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xixkxuudj2Tz+6Iurumr2A==</notes></var><var ID="v35513202" name="V165009" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST ADMIN: Internet respondent incentive paid (post-election)</labl><sumStat type="max">80.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">32.01967213114805</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">40.0</sumStat><sumStat type="stdev">31.923978375215132</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. Unit nonresponse, no Post-Election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No Post, deleted due to insufficient partial</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, FTF cases</labl><catStat type="freq">1058</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:riqP5bn1s9oP2GbTtUASlw==</notes></var><var ID="v35512652" name="V165500" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Initial incentive offer [V164008 expanded for full FTF sample]</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">7.6744730679150805</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">50.0</sumStat><sumStat type="stdev">16.81557408691824</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nNAYB1hfIt50B3LErqWOiQ==</notes></var><var ID="v35513349" name="V165501" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Screener completed</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.1709601873536661</sumStat><catgry><catValu>1</catValu><labl level="category">1. FTF screener completed</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XtE9oC+m9oFqE+jYX9qiLg==</notes></var><var ID="v35513341" name="V165502" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Random number generated</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">0.9992036768</sumStat><sumStat type="mean">-1.311190119014657</sumStat><sumStat type="stdev">1.1251049165646319</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g4natWLM9z3RcxKxhpmxgQ==</notes></var><var ID="v35514132" name="V165503" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: INTRO3. Intro text read</labl><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.1709601873536661</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Continue</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XtE9oC+m9oFqE+jYX9qiLg==</notes></var><var ID="v35512843" name="V165504" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: S2. Number of adults live here</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.2763466042154747</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">0.44724266685013125</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tWrDlbb9Q4YWPFJqbleLxQ==</notes></var><var ID="v35512811" name="V165505" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Number of adults live here - topcoded</labl><sumStat type="max">8.0</sumStat><sumStat type="mean">-0.9210772833724491</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.8010956195871295</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. 2 people</labl><catStat type="freq">597</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. 7 people</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Just informant</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 8 or more people (topcoded)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. 5 people</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. 6 people</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 3 people</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. 4 people</labl><catStat type="freq">49</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hPq7kNUjyxTLcGDCZ53F7A==</notes></var><var ID="v35514333" name="V165506" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: S2A. Any children under 18</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.9927400468384604</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.649462027580293</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">419</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">761</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bun9AcW8QTnITEhWHuVXTA==</notes></var><var ID="v35514396" name="V165507" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT_S. Screener R citizenship</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.1662763466041783</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.3510139337961817</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">1160</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G6QD8Klo55WDL1vZSFLLSw==</notes></var><var ID="v35512926" name="V165508" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX_S. Screener R sex</labl><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.017798594847815</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6109434335280644</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">526</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">654</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fjNKCLKQkp7JI9QuXOhlmA==</notes></var><var ID="v35514002" name="V165509" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE_S. Screener R age</labl><sumStat type="max">-2.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.2763466042154747</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.44724266685013125</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tWrDlbb9Q4YWPFJqbleLxQ==</notes></var><var ID="v35512728" name="V165510" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Screener R age categories</labl><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.8382822722148962</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.8941451990632981</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">428</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">377</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">375</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9Y2tUGFx9D1fU/sMnfuS2w==</notes></var><var ID="v35513197" name="V165511" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC_S. Screener R education</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.1021886473775324</sumStat><sumStat type="mean">-0.7163934426228955</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">832</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">271</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">76</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3RvmfcF34u5OEO7WWm2fmA==</notes></var><var ID="v35513238" name="V165512" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: S3. Continue to roster</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.7105386416861807</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.5504497840757623</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. CONTINUE TO ROSTER</labl><catStat type="freq">796</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xMGZv1Zo0uLqo+hsWFJAgQ==</notes></var><var ID="v35513740" name="V165513" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 1 [Screener R] residency</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-1.7105386416861807</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.5504497840757623</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">796</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xMGZv1Zo0uLqo+hsWFJAgQ==</notes></var><var ID="v35514034" name="V165514" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 1 [Screener R] sex</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.6126463700234255</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.7386864221555571</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">378</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">418</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Uz68MKaekT9nKkIfKpDEFA==</notes></var><var ID="v35513595" name="V165515" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 1 [Screener R] age</labl><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8876063624883402</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.4562060889929644</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">796</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:h7OFCTbE88C70FRdtyyhpw==</notes></var><var ID="v35513861" name="V165516" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 1 age categories</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.5435597189695551</sumStat><sumStat type="stdev">1.8819330564902588</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">315</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">282</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">199</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/t09hwJYa3QAcx6/3BTdGA==</notes></var><var ID="v35513139" name="V165517" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 1 [Screener R] confirm age</labl><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513974" name="V165518" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 1 [Screener R] age check</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513710" name="V165519" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 1 [Screener R] citizenship</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.7058548009367611</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.560113758005925</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">776</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iBY8rj5ji+hqvlTvQith2Q==</notes></var><var ID="v35513869" name="V165520" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 1 [Screener R] education</labl><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">2.136334590894569</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.4007025761123755</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">568</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wq5dayZAPy95p9FVyH0ClQ==</notes></var><var ID="v35513656" name="V165521" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 2 residency</labl><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.7259953161592574</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.553256541676107</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">785</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LSHUuSJHmvy2q0/lqOpdpg==</notes></var><var ID="v35512825" name="V165522" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 2 sex</labl><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.7289550574997024</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.6353629976580903</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">387</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">398</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:abtwfwTR8FI43GD9T+1Csg==</notes></var><var ID="v35514214" name="V165523" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 2 age</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8965099977703448</sumStat><sumStat type="mean">-2.461358313817345</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">785</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KrNVloLTJECbB/Xs189uFw==</notes></var><var ID="v35513599" name="V165524" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 2 age categories</labl><sumStat type="min">-5.0</sumStat><sumStat type="mean">0.7786885245901333</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">153.05349299241703</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">9999.0</sumStat><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">307</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">282</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ib/7oGx7I5aMev/NqlEvQA==</notes></var><var ID="v35513929" name="V165525" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 2 confirm age</labl><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QYT8u2YLufJLlCvCZ2PU8A==</notes></var><var ID="v35513542" name="V165526" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 2 age check</labl><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35512968" name="V165527" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 2 citizenship</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.7177985948477925</sumStat><sumStat type="stdev">1.5768698298355892</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">740</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fkaOR1wsjBkrdPu0aSzVGQ==</notes></var><var ID="v35512810" name="V165528" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 2 education</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.4496487119437669</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">2.105368795166748</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">395</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">488</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">240</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:z+3PoSo5C9wZV71WYvx9XQ==</notes></var><var ID="v35513447" name="V165529" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 3 residency</labl><sumStat type="stdev">1.4891742119721134</sumStat><sumStat type="mean">-2.532084309133481</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:guw3yX3wnegeJGzAkjjh9w==</notes></var><var ID="v35512847" name="V165530" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 3 sex</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="mean">-2.505152224824382</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.5669180869405765</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">102</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lqi55UxcsEJcifGhHjLeBg==</notes></var><var ID="v35514342" name="V165531" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 3 age</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.2490597100989336</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.7306791569086366</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mQ5iV2Ul/HMMmO6nT7xYAQ==</notes></var><var ID="v35513098" name="V165532" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 3 age categories</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">6.855737704917842</sumStat><sumStat type="max">9999.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">305.9940339698414</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">53</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LqLmq4vVsa/OhyK01H9y9Q==</notes></var><var ID="v35513872" name="V165533" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 3 confirm age</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.3487341161661832</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.8252927400468977</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1176</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Y0paxcoSFcgBcWSREzshjA==</notes></var><var ID="v35514337" name="V165534" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 3 age check</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-2.8276346604215172</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0SmzJVPSsVwfYZ3FY7ip6Q==</notes></var><var ID="v35512837" name="V165535" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 3 citizenship</labl><sumStat type="min">-8.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.4982597209866144</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-2.53255269320845</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">971</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gYjPYESOpFCgdY9BA0Nb3w==</notes></var><var ID="v35512655" name="V165536" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 3 education</labl><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.47283372365341</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6851179664268083</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">971</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">75</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SrojjtQ34q7xruDBPRp1VA==</notes></var><var ID="v35514024" name="V165537" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 4 residency</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.7416861826697954</sumStat><sumStat type="stdev">1.3925209204235138</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PfxvdUd1n76EaMzRLn3itQ==</notes></var><var ID="v35513605" name="V165538" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 4 sex</labl><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.735362997658076</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">1.4141274437315716</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2H98DZhXKl0JqmHE2F6MlQ==</notes></var><var ID="v35513660" name="V165539" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 4 age</labl><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.7999999999999954</sumStat><sumStat type="stdev">1.3158136871933164</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7a6nkI1So38/XdKYrwo4cA==</notes></var><var ID="v35513536" name="V165540" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 4 age categories</labl><sumStat type="max">9999.0</sumStat><sumStat type="stdev">306.00794320694297</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">6.628571428570908</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VZp2uMqWM8dZ3vHWA6iWWw==</notes></var><var ID="v35512763" name="V165541" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 4 confirm age</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-2.8227166276346387</sumStat><sumStat type="stdev">1.3474420285888415</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1176</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:C3fBsf5c/IiyFoTsFKaqDQ==</notes></var><var ID="v35513529" name="V165542" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 4 age check</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514415" name="V165543" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 4 citizenship</labl><sumStat type="mean">-2.7400468384074563</sumStat><sumStat type="stdev">1.3975057249473677</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+kcPBt0yLsWDTccgJ/e9Dw==</notes></var><var ID="v35514077" name="V165544" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 4 education</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.7234192037471043</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.4510323850086861</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">29</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1118</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2L9XwGQkfubu0f9Lb1n2BQ==</notes></var><var ID="v35513966" name="V165545" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 5 residency</labl><sumStat type="max">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.3494619889581294</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.816393442622962</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nXPY5gAWuUHtgMz+fo3rcA==</notes></var><var ID="v35513619" name="V165546" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 5 sex</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.8152224824356065</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3532026107875859</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AJyPVged+FXeTlzjZ6ceWA==</notes></var><var ID="v35512819" name="V165547" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 5 age</labl><sumStat type="stdev">1.3380365005491015</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.824824355971863</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GGyNvAm9EEJztbYO2yfu6Q==</notes></var><var ID="v35514065" name="V165548" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 5 age categories</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.3550414694334743</sumStat><sumStat type="mean">-2.8147540983606563</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QiYmfW65QdRetY+KPFodDw==</notes></var><var ID="v35513047" name="V165549" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 5 confirm age</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514379" name="V165550" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 5 age check</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513440" name="V165551" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 5 citizenship</labl><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.3502110236247116</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.8161592505854953</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uN9Z1Pg06CZg96Armv3i3w==</notes></var><var ID="v35514114" name="V165552" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 5 education</labl><sumStat type="stdev">1.3616825372244667</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.8128805620609163</sumStat><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1171</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FrHmoKvEK13ze4HDrdrWzg==</notes></var><var ID="v35513293" name="V165553" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 6 residency</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3443241622949975</sumStat><sumStat type="mean">-2.824824355971863</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GP4WXIHqOnb5LXUJs9YnWw==</notes></var><var ID="v35513330" name="V165554" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 6 sex</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3443241622949975</sumStat><sumStat type="mean">-2.824824355971863</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GP4WXIHqOnb5LXUJs9YnWw==</notes></var><var ID="v35513684" name="V165555" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 6 age</labl><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.340500103346375</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.827634660421517</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zwubWnA22n7SfIOnc2t6Eg==</notes></var><var ID="v35513504" name="V165556" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 6 age categories</labl><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.824355971896937</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.345830427886007</sumStat><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xxV60ns+4NxVDcmnhbHedw==</notes></var><var ID="v35512822" name="V165557" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 6 confirm age</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35512733" name="V165558" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 6 age check</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35512977" name="V165559" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 6 citizenship</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.3443241622949975</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.824824355971863</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GP4WXIHqOnb5LXUJs9YnWw==</notes></var><var ID="v35513819" name="V165560" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 6 education</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.3484338457140725</sumStat><sumStat type="mean">-2.823653395784529</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1177</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FMA6XzqWlVzNI5Hco3+T1Q==</notes></var><var ID="v35513389" name="V165561" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 7 residency</labl><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35513557" name="V165562" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 7 sex</labl><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35512986" name="V165563" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 7 age</labl><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3413189899751383</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.8285714285713897</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zlRUZCs/BoNk2m/PKFqGmA==</notes></var><var ID="v35513095" name="V165564" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 7 age categories</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35513261" name="V165565" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 7 confirm age</labl><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513084" name="V165566" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 7 age check</labl><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514150" name="V165567" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 7 citizenship</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35513554" name="V165568" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 7 education</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.343350240144818</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.827400468384122</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vwPjF7L4pcA71H33uqJttw==</notes></var><var ID="v35514364" name="V165569" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 8 residency</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="mean">-2.827634660421517</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35514282" name="V165570" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 8 sex</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35512956" name="V165571" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 8 age</labl><sumStat type="stdev">1.3413189899751383</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.8285714285713897</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zlRUZCs/BoNk2m/PKFqGmA==</notes></var><var ID="v35513307" name="V165572" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 8 age categories</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.343350240144818</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.827400468384122</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vwPjF7L4pcA71H33uqJttw==</notes></var><var ID="v35514285" name="V165573" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 8 confirm age</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35512791" name="V165574" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 8 age check</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514010" name="V165575" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 8 citizenship</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">1.3425954165649192</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.827634660421517</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W+H39B4yEq/NLbBxCc6V8g==</notes></var><var ID="v35512577" name="V165576" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 8 education</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.343350240144818</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.827400468384122</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1179</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vwPjF7L4pcA71H33uqJttw==</notes></var><var ID="v35513319" name="V165577" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_RES. Roster 9 residency</labl><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514157" name="V165578" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_SEX. Roster 9 sex</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. REFUSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. FEMALE</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. MALE</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513614" name="V165579" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: SCRN_AGE. Roster 9 age</labl><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513092" name="V165580" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster 9 age categories</labl><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513759" name="V165581" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: CONFIRM2. Roster 9 confirm age</labl><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513070" name="V165582" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: ELIG_CKAGE. Roster 9 age check</labl><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO/DK</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35512788" name="V165583" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_CIT. Roster 9 citizenship</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. CITIZEN</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NON-CITIZEN</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35513775" name="V165584" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: SCRN_EDUC. Roster 9 education</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. MORE THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. LESS THAN HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. HIGH SCHOOL</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514178" name="V165585" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Confirm no one missing from roster</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.1709601873536661</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. SOMEONE ELSE LIVES HERE</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. ROSTER CORRECT</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XtE9oC+m9oFqE+jYX9qiLg==</notes></var><var ID="v35514284" name="V165586" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Home is rented or owned</labl><sumStat type="mean">-1.0847775175644352</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.5284688543770872</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. OWNED</labl><catStat type="freq">791</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. RENTED</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. OTHER</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ecko6BivrENxgTBbltypgQ==</notes></var><var ID="v35513196" name="V165587" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Any other person who receives mail here</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.7533052790284265</sumStat><sumStat type="mean">-0.9208430913348445</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">1068</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tz/r+du+J4PBNqGoyZEBqg==</notes></var><var ID="v35513731" name="V165588" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Address of any hidden households</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.6716627634660677</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.4270478247470817</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Continue</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1068</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:P3/DDkkNBTf+ZvibA6Yt1w==</notes></var><var ID="v35514318" name="V165589" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: No one eligible from screener logic</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.829039812646334</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. EXIT SCREENER</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6AufPY4deQy9oy2xsMVgTQ==</notes></var><var ID="v35514169" name="V165590" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Screener R selected for Pre</labl><sumStat type="mean">-1.6473067915690787</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.6394958366190873</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES, PROCEED WITH INTERVIEW</labl><catStat type="freq">610</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO, SP NOT AVAILABLE</labl><catStat type="freq">198</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fhcsr3QlUyTMRoYUMFHCiA==</notes></var><var ID="v35514171" name="V165591" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Is selected R (not screener) available</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-2.254800936768159</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6683835088582761</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">808</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES, PROCEED WITH SP</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO, SP NOT AVAILABLE</labl><catStat type="freq">220</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/3gf5neD2rJS426sbXfuGg==</notes></var><var ID="v35514129" name="V165592" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Did informant give legitimate SP phone number</labl><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-0.97822014051525</sumStat><sumStat type="stdev">1.6712030888344176</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">823</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hymHwdTPm4tzwJQytb6eLw==</notes></var><var ID="v35513163" name="V165593" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Is the phone provided a cell phone</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6035688369970766</sumStat><sumStat type="mean">-2.280327868852442</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">806</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">275</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Gbz9OLSiG+xabwY/KGCNag==</notes></var><var ID="v35514381" name="V165594" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: May we use text message at phone provided</labl><sumStat type="mean">-2.5573770491803245</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.513230680923104</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">996</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">65</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:r/pUFHqLIYbIAhokzf0eQg==</notes></var><var ID="v35512567" name="V165595" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Can selected person conduct interview in English</labl><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.5837898937630948</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.025058548009367</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO, SP CANNOT DO INTERVIEW IN ENGLISH</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES, SP CAN DO INTERVIEW IN ENGLISH</labl><catStat type="freq">557</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">610</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:f8baix1BsVjCv3kkbj+Zgw==</notes></var><var ID="v35513692" name="V165596" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Can selected person conduct interview in Spanish</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.3535933594306753</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.810538641686202</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. NO</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. YES</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1167</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:81X9Yr4ohfw4kjG9JtTkTA==</notes></var><var ID="v35512875" name="V165597" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: End screener</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.576994632785539</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.028103044496486</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">610</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g7qcxQrBT7Bwx5pShVp49g==</notes></var><var ID="v35513887" name="V165598" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Was screener administered in English or Spanish</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3519381264359316</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.16580796252925</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. SPANISH</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. ENGLISH</labl><catStat type="freq">1158</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zxm5EclsiL1TaV+eEWm2Vw==</notes></var><var ID="v35513075" name="V165599" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. FTF SCREENER: Selected person age</labl><sumStat type="max">-2.0</sumStat><sumStat type="stdev">0.44724266685013125</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.2763466042154747</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tWrDlbb9Q4YWPFJqbleLxQ==</notes></var><var ID="v35514292" name="V165600" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Selected person age categories</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.8274783119540159</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.9021077283371653</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">406</catStat></catgry><catgry><catValu>9999</catValu><labl level="category">9999. Refused</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">400</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>9998</catValu><labl level="category">9998. Don't know</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7BHM/Sndj5kog048dfmJYA==</notes></var><var ID="v35514401" name="V165601" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Selected person language</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3518802611672125</sumStat><sumStat type="mean">-1.1676814988290165</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. English</labl><catStat type="freq">1159</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Spanish</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7oiJLWE5u+WFeotScY/cyQ==</notes></var><var ID="v35513022" name="V165602" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Number of adults in HH - summary</labl><sumStat type="max">8.0</sumStat><sumStat type="mean">-0.9229508196720717</sumStat><sumStat type="stdev">1.799094721708506</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:H8ON1J6oV1DLD91DCqn62A==</notes></var><var ID="v35514405" name="V165603" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Number of eligible U.S. Citizen adults in HH - summary</labl><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-0.9444964871193823</sumStat><sumStat type="stdev">1.7612101657489891</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. 6 eligible U.S. Citizen adults</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 8 eligible U.S. Citizen adults</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. 5 eligible U.S. Citizen adults</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 3 eligible U.S. Citizen adults</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. 7 eligible U.S. Citizen adults</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1 eligible U.S. Citizen adult</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2 eligible U.S. Citizen adults</labl><catStat type="freq">565</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. 4 eligible U.S. Citizen adults</labl><catStat type="freq">37</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lHMo40rv51vZFMlYv0ywLg==</notes></var><var ID="v35514106" name="V165604" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Selection is Nth citizen listed in roster</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.6709601873536117</sumStat><sumStat type="max">6.0</sumStat><sumStat type="stdev">1.7720070966111887</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">428</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4dWcVA4w0lVGEs5Ljf+2zg==</notes></var><var ID="v35514098" name="V165605" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Selection is Nth person listed in roster</labl><sumStat type="max">6.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">1.7882388665253104</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.6634660421545586</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">428</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cmPkhKUCXLSB4lHDtRJGsg==</notes></var><var ID="v35513722" name="V165606" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster position selected for Pre (final summary)</labl><sumStat type="stdev">1.7754862695127405</sumStat><sumStat type="mean">-1.6016393442623007</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Person 8 selected for Pre from roster</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Person 2 selected for Pre from roster</labl><catStat type="freq">307</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Person 7 selected for Pre from roster</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Person 5 selected for Pre from roster</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Screener R only person in household; no roster completed</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household after roster</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Person 4 selected for Pre from roster</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Person 6 selected for Pre from roster</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Person 1 [Screener R] selected for Pre from roster</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Person 3 selected for Pre from roster</labl><catStat type="freq">43</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:V61EnASRLtfDWuPiTSbF/w==</notes></var><var ID="v35513881" name="V165607" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Roster size</labl><sumStat type="max">8.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-1.4599531615925316</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.032221815475181</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Umi7mTh1GjKGktbF/zseeg==</notes></var><var ID="v35513866" name="V165608" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Selection for Pre, Detailed</labl><sumStat type="mean">-0.6004683840748575</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">2.466187319122895</sumStat><catgry><catValu>4</catValu><labl level="category">4. Person 2 selected: only eligible person after roster</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Person 6 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Person 8 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Person 4 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Screener R/Person 1 selected: only eligible person after roster</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Person 3 selected: only eligible person after roster</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Screener R/Person 1 selected: U.S. citizen adult Screener R, only adult in household; no roster needed</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Person 5 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Person 7 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Person 3 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Person 2 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">295</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Screener R/Person 1 selected: more than 1 person eligible after roster; randomly selected</labl><catStat type="freq">380</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+1GdrIGpqu+RE6yaiBgaKg==</notes></var><var ID="v35512787" name="V165609" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF SCREENER: Screener R selected for Pre</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.5027097419938646</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0838407494145603</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No FTF screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, Web sample</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Screener R selected for Pre</labl><catStat type="freq">808</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Screener R not selected for Pre</labl><catStat type="freq">372</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:45caTG13KThWuDWW2ZKDxQ==</notes></var><var ID="v35512855" name="V165700" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Screener completed</labl><sumStat type="max">1.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mean">0.17096018735366614</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Web screener completed</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Cj3tZo6CX4fvi93hnygpbw==</notes></var><var ID="v35512621" name="V165701" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: WEB screener check amount for Rs not selected for Pre</labl><sumStat type="max">80.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">9.882903981264779</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">25.276459002637942</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inapplicable, no Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable, R selected for Pre</labl><catStat type="freq">2008</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c0XfgiZn/v0BX5Xftkz/Ww==</notes></var><var ID="v35514008" name="V165702" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Interview start date (yyyymmdd)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0Ys+iZvcjd/nH4egm4qIbw==</notes></var><var ID="v35514143" name="V165703" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Interview start time (hhmmss)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qRlCTHdNKvqFvNahe0VZ3g==</notes></var><var ID="v35513590" name="V165704" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Interview end date (yyyymmdd)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IbfcfsMQQtpfCdCfu82fLQ==</notes></var><var ID="v35514180" name="V165705" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Interview end time (hhmmss)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VqKrj0A5r6mKoBjUH0FJyw==</notes></var><var ID="v35513585" name="V165706" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Question displayed when interview ended</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XSa00M+XlvF/zq8ASiclFg==</notes></var><var ID="v35514228" name="V165707" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Seed value</labl><sumStat type="max">2.145184896E9</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.14737664E9</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.1090125774062812E9</sumStat><sumStat type="medn">3.01957056E8</sumStat><sumStat type="mean">5.07445826886189E8</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qHNsVYPGay8ZBd6mcDZ48w==</notes></var><var ID="v35512742" name="V165708" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Interview engine version</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4vdI9xdKQQRO+7I0J0Oykg==</notes></var><var ID="v35513673" name="V165709" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Language of screener</labl><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3509449024792035</sumStat><sumStat type="mean">0.18032786885245577</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Spanish</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. English</labl><catStat type="freq">3050</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ejus2hMebtP4G/z6k7mlzw==</notes></var><var ID="v35513234" name="V165710" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S3. Address verification</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.1503512880561565</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3894386692702048</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. I live at this address</labl><catStat type="freq">3079</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. I live at a different address</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k4XB8w01OZRMRjVtjQHNUg==</notes></var><var ID="v35513767" name="V165711" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S4. Nonresident</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. I was at this address temporarily</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mail was delivered to me by mistake</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. I got the letter in another way</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Mail was forwarded</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514322" name="V165712" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5. Number of adults</labl><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.82978298016986</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.8189695550351627</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. 1 adult</labl><catStat type="freq">846</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 3+ adults</labl><catStat type="freq">523</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2 adults</labl><catStat type="freq">1721</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WauKrKiN5Z83qjSXZ+M3Ug==</notes></var><var ID="v35512995" name="V165713" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5a. Unusually large household</labl><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.4360655737704673</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.1098907005448444</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Household</labl><catStat type="freq">523</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Some other living arrangement</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Group quarters</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2567</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ip3f5qskcrmofGbvPl6WDQ==</notes></var><var ID="v35512878" name="V165714" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5b1. Other living arrangement</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-5.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. You</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. A person not related to you</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Another organization</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. A business</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Someone related to you</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. The government</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514036" name="V165715" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S5b3. How many people in building</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35513687" name="V165716" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5b3. How many people in building - topcoded</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 8 or more people (topcoded)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35513737" name="V165717" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5b4. Home have its own kitchen</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. No kitchen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Have my own kitchen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Have access to kitchen shared with people I don't live with</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35513352" name="V165718" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5b5. Pay rent or have another arrangement</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><catgry><catValu>1</catValu><labl level="category">1. Pay rent</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Another arrangement</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35513594" name="V165719" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S5d. Number of adults above 2</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">2.7650511700323284</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-3.149414519906321</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2567</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8RjKTQQ9So25/o8sFPGY6Q==</notes></var><var ID="v35512653" name="V165720" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S6. HH citizenship</labl><sumStat type="mean">-0.3676814988289989</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9683557920873502</sumStat><sumStat type="max">8.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">848</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I59GXgm3ROQl841xOMpItg==</notes></var><var ID="v35512945" name="V165721" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S6a. Singleton citizenship</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.356899353968468</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">-2.9793911007025615</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-5.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not a citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. citizen</labl><catStat type="freq">848</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2242</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:re2P9OrYLxK5DvVfX6rLXA==</notes></var><var ID="v35512921" name="V165722" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S6b. R citizenship</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.3543253771398414</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">-1.0245901639344126</sumStat><catgry><catValu>1</catValu><labl level="category">1. U.S. citizen</labl><catStat type="freq">2225</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">848</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not a citizen</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qOboXlkRY+A4MgJEKByfAw==</notes></var><var ID="v35512658" name="V165723" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S7. Gender</labl><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.7415167953770692</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.5487119437938914</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">1789</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">1279</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">22</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:45haXa4mDkJtkdky2YcOcg==</notes></var><var ID="v35512610" name="V165724" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S8. Adult check</labl><sumStat type="mean">0.17283372365342778</sumStat><sumStat type="stdev">1.3435816654443227</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No data</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age 18 or older</labl><catStat type="freq">3082</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Under 18 </labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pzOEEIPUG7spIrKoj1jihw==</notes></var><var ID="v35512961" name="V165725" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. CAMPINTSTD. Interest in campaigns</labl><sumStat type="mean">-2.272833723653394</sumStat><sumStat type="stdev">3.057623703252579</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Very much interested</labl><catStat type="freq">606</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat interested</labl><catStat type="freq">389</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not much interested</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5iWArTNthQzf4YlXp7NX1w==</notes></var><var ID="v35513343" name="V165726" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. PRESVTLAST. 2012 Turnout</labl><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">2.5637577609472157</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.5918032786885195</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No, didn't vote</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes, voted</labl><catStat type="freq">836</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:23ahNCfc6Gv0kUamnnuofQ==</notes></var><var ID="v35512619" name="V165727" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. REGIST. Voter registration</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.5700234192037628</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">2.605765226289001</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Registered at this address</labl><catStat type="freq">872</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Registered at a different address</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Not currently registered</labl><catStat type="freq">120</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bt0dDTU75DZ8SgAtii3rQg==</notes></var><var ID="v35512885" name="V165728" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. REGPTY. Party of registration</labl><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.546370023419201</sumStat><sumStat type="stdev">2.92749579131894</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2126</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other {SPECIFY}</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican party</labl><catStat type="freq">325</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. None or 'independent'</labl><catStat type="freq">264</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic party</labl><catStat type="freq">357</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pvqyqbKfTfXYuBx1n4kGPA==</notes></var><var ID="v35512613" name="V165729" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. REGPTY. Party of registration - Other</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Z7bJ13z31zCItJLOTVDCfw==</notes></var><var ID="v35513982" name="V165730" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. FINFAM. Number of family members living with R</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3102133885697327</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.664168618266957</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1082</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DcF6AN1dowvJ8QJ7VbW6ag==</notes></var><var ID="v35513849" name="V165731" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. FINFAM_x. Number of family members living with R - topcoded</labl><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9314027313746216</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.4114754098360733</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 8 or more family members (topcoded)</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gDndJPjPAK8qBqhcX5bJcQ==</notes></var><var ID="v35513306" name="V165732" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RHEALTH. Health</labl><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-1.950117096018735</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.5874241884215845</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Good</labl><catStat type="freq">282</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Very good</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Poor</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fair</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Excellent</labl><catStat type="freq">251</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:erU2ZidkAcUCNhWgKoLDew==</notes></var><var ID="v35513924" name="V165733" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. Party Order. Randomization for party order</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">2.6666589692860594</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.523419203747067</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Dem party first in response order and question text</labl><catStat type="freq">553</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Rep party first in response order and question text</labl><catStat type="freq">531</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Zn8J4cpaNORRD2nt2SpT0g==</notes></var><var ID="v35514183" name="V165734" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RPTYID. 3-point party ID</labl><sumStat type="min">-7.0</sumStat><sumStat type="mean">-2.405854800936771</sumStat><sumStat type="stdev">2.89948960500674</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic party</labl><catStat type="freq">401</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. None or 'independent'</labl><catStat type="freq">302</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican party</labl><catStat type="freq">337</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other {SPECIFY}</labl><catStat type="freq">37</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kAqAxE4S9aVuuk3gng2pYA==</notes></var><var ID="v35514289" name="V165735" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. RPTYID_5. 3-point party ID - Other</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PnAuDC1Sg+KQE2C1lqKLvQ==</notes></var><var ID="v35512801" name="V165736" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. BIRTHYR. Year of birth</labl><sumStat type="mean">-3.7100702576112163</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.3211318304408957</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-3.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2106</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">984</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Fthg9YsNrJVJwJ4rMV6YwA==</notes></var><var ID="v35513421" name="V165737" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. BIRTHYR. Year of birth - topcoded</labl><sumStat type="mean">450.50491803278294</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1997.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">830.5612886500091</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1926</catValu><labl level="category">1926. 1926 or earlier</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2106</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l1e+hyUBPahdwrlgHSL5vw==</notes></var><var ID="v35512836" name="V165738" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. BIRTHMO. Month of birth</labl><sumStat type="stdev">1.3099728646718607</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mean">-3.663231850117051</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1084</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:A6w+WXGw0mjIJmI4CKuxzQ==</notes></var><var ID="v35513494" name="V165739" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. MARITAL. Marital status</labl><sumStat type="stdev">3.0752185304037916</sumStat><sumStat type="mean">-2.3651053864168556</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Widowed</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Married</labl><catStat type="freq">782</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Divorced</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Never married</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Separated</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QWgrbLXkOZb+Aikb/WFqgQ==</notes></var><var ID="v35513680" name="V165740" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. PARTN. Partnership status</labl><sumStat type="stdev">2.559153100328526</sumStat><sumStat type="mean">-2.6152224824356143</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">846</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">227</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XY4FsKBGpZaHXGJ3u0Imcw==</notes></var><var ID="v35513637" name="V165741" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. EDUCR. Educational attainment</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">95.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">0.27236533957849085</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">8.638740515415634</sumStat><catgry><catValu>15</catValu><labl level="category">15. Professional school degree (for example: md,dds,dvm,llb,jd)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>8</catValu><labl level="category">08. 12th grade no diploma</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>7</catValu><labl level="category">07. 11th grade</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Other {SPECIFY}</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Bachelor's degree (for example: ba, ab, bs)</labl><catStat type="freq">284</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Associate degree in college - occupational/vocational program</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Master's degree (for example: ma, ms, meng, med, msw, mba)</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Associate degree in college -- academic program</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>3</catValu><labl level="category">03. 5th or 6th grade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. Less than 1st grade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Doctorate degree (for example: phd, edd)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Some college but no degree</labl><catStat type="freq">272</catStat></catgry><catgry><catValu>5</catValu><labl level="category">05. 9th grade</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>4</catValu><labl level="category">04. 7th or 8th grade</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">02. 1st, 2nd, 3rd or 4th grade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">06. 10th grade</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9</catValu><labl level="category">09. High school graduate- high school diploma or equivalent (for example: ged)</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:838w0zXtIlsvJLJ5HRCBDA==</notes></var><var ID="v35513915" name="V165742" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. EDUCR. Educational attainment - Other</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DAiKSLcWV6WlQRmPShXfMQ==</notes></var><var ID="v35513385" name="V165743" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. EDUCSP. Spouse/partner educational attainment</labl><sumStat type="max">95.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">7.422540410104245</sumStat><sumStat type="mean">-0.6866510538642</sumStat><catgry><catValu>6</catValu><labl level="category">06. 10th grade</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Bachelor's degree (for example: ba, ab, bs)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>4</catValu><labl level="category">04. 7th or 8th grade</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">08. 12th grade no diploma</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>9</catValu><labl level="category">09. High school graduate- high school diploma or equivalent (for example: ged)</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. Less than 1st grade</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Some college but no degree</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Professional school degree (for example: md,dds,dvm,llb,jd)</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>95</catValu><labl level="category">95. Other {SPECIFY}</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">03. 5th or 6th grade</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2188</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>7</catValu><labl level="category">07. 11th grade</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Associate degree in college - occupational/vocational program</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>5</catValu><labl level="category">05. 9th grade</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Associate degree in college -- academic program</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Master's degree (for example: ma, ms, meng, med, msw, mba)</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>2</catValu><labl level="category">02. 1st, 2nd, 3rd or 4th grade</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Doctorate degree (for example: phd, edd)</labl><catStat type="freq">20</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SP9kg9d/PPAm7+M0AK787g==</notes></var><var ID="v35512646" name="V165744" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. EDUCSP. Spouse/partner educ attainment - Other</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5+SOpOeRmqGzRWEmqzyo3A==</notes></var><var ID="v35514078" name="V165745" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. HISP. Ethnicity</labl><sumStat type="max">2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.8164371707167444</sumStat><sumStat type="mean">-2.424355971896963</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">970</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5yKvGY99wxFarW0kKNwdVQ==</notes></var><var ID="v35512765" name="V165746" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS1. White</labl><sumStat type="mean">-2.7128805620608727</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">2.409767329555286</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">896</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UsPYcmLHN+M7Djtc2CQIMQ==</notes></var><var ID="v35513125" name="V165747" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS2. Black or African-American</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.9007025761124203</sumStat><sumStat type="stdev">2.136471647715556</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">972</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">94</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/uGYnbekSZ0F4kYVnXNa9A==</notes></var><var ID="v35514090" name="V165748" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS3. American Indian or Alaska Native</labl><sumStat type="mean">-2.9107728337236676</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.1203541500495304</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">1015</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">51</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4wEuCPYFQCRQeLhSOc6GRw==</notes></var><var ID="v35513043" name="V165749" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS4. Asian</labl><sumStat type="stdev">2.1169591269017007</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.912880562060895</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">1024</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OXm4selr+CUHQx3HKV2MGA==</notes></var><var ID="v35512612" name="V165750" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS5. Native Hawaiian or other Pacific Islander</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">2.1033031087183223</sumStat><sumStat type="mean">-2.9213114754098237</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">1060</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M2ll41dRLC3IixGiwffl4A==</notes></var><var ID="v35513932" name="V165751" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. RACECPS6. Other</labl><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">2.118846181366636</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.9117096018735245</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2024</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Not selected by R</labl><catStat type="freq">1019</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Selected by R</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zUfUOEAvrV4UgGk/X6TsIA==</notes></var><var ID="v35513724" name="V165752" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. RACECPS95. Other - description</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6OYuhKxl/rl7SnMS00ZwKA==</notes></var><var ID="v35512704" name="V165753" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. OWNHOME. Home tenure</labl><sumStat type="mean">-2.373067915690875</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9215839943276145</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Pay rent</labl><catStat type="freq">262</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Own home with no payments due</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Pay mortgage</labl><catStat type="freq">516</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Some other arrangement</labl><catStat type="freq">65</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L3u6YOXuPgiXDxz6cX7FKQ==</notes></var><var ID="v35513118" name="V165754" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. LENADDR. Years at address</labl><sumStat type="mean">-3.663700234192068</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3100932158885703</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1083</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2007</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:T/4Ga5xyMyhdRFUW8/r7QQ==</notes></var><var ID="v35513893" name="V165755" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. LENADDR. Years at address - categories</labl><sumStat type="medn">-2.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.285948477751758</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">3.0469065414993795</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2007</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 5 years or more</labl><catStat type="freq">657</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than 5 years, more than 1 year</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1 year or less</labl><catStat type="freq">189</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c0dGUOyBrH4zvhkOQqjnnw==</notes></var><var ID="v35513779" name="V165756" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S10. TOTINC. Family income</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-3.683840749414538</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.3151000620768543</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2050</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1040</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sXoZOYoBfLJ9lj8N3a+HCQ==</notes></var><var ID="v35513786" name="V165757" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. TOTINC. Family income - categories</labl><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">28.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.22341920374705</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">9.908823722153974</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>7</catValu><labl level="category">07. $20,000-$22,499 </labl><catStat type="freq">36</catStat></catgry><catgry><catValu>2</catValu><labl level="category">02. $5,000-$9,999 </labl><catStat type="freq">14</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. $90,000-$99,999 </labl><catStat type="freq">50</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. $250,000 or more</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. $70,000-$74,999 </labl><catStat type="freq">35</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. $27,500-$29,999 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">06. $17,500-$19,999 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. $40,000-$44,999 </labl><catStat type="freq">41</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. $45,000-$49,999 </labl><catStat type="freq">30</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2050</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">01. Under $5,000 </labl><catStat type="freq">67</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. $80,000-$89,999 </labl><catStat type="freq">54</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. $55,000-$59,999 </labl><catStat type="freq">24</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. $150,000-$174,999 </labl><catStat type="freq">52</catStat></catgry><catgry><catValu>9</catValu><labl level="category">09. $25,000-$27,499 </labl><catStat type="freq">24</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. $100,000-$109,999 </labl><catStat type="freq">59</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. $175,000-$249,999 </labl><catStat type="freq">44</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. $110,000-$124,999 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>4</catValu><labl level="category">04. $12,500-$14,999 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. $125,000-$149,999 </labl><catStat type="freq">68</catStat></catgry><catgry><catValu>3</catValu><labl level="category">03. $10,000-$12,499 </labl><catStat type="freq">12</catStat></catgry><catgry><catValu>5</catValu><labl level="category">05. $15,000-$17,499 </labl><catStat type="freq">14</catStat></catgry><catgry><catValu>8</catValu><labl level="category">08. $22,500-$24,999 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. $65,000-$69,999 </labl><catStat type="freq">33</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. $50,000-$54,999 </labl><catStat type="freq">53</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. $60,000-$64,999 </labl><catStat type="freq">52</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. $35,000-$39,999 </labl><catStat type="freq">34</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. $30,000-$34,999 </labl><catStat type="freq">49</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. $75,000-$79,999 </labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XOttdF8uAGqTum9Gfr5LaA==</notes></var><var ID="v35513038" name="V165758" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S10. TOTMISS40. Family income category</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.4570398169199772</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-4.111475409836071</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3034</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Less than $40,000 </labl><catStat type="freq">14</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Did not answer</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. $40,000 or more</labl><catStat type="freq">30</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K29U+IjvOhDAl6PA6agbEw==</notes></var><var ID="v35514095" name="V165759" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 1</labl><sumStat type="min">-5.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.51100702576113</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.698089460071535</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2013</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">626</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">451</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AkpdzFWXmi8x1j7OE2zORw==</notes></var><var ID="v35513132" name="V165760" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 2</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.539344262295084</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.6461890975900864</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">475</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">607</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LDh3fvytxqnLu8YkB9tzUA==</notes></var><var ID="v35512562" name="V165761" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 3</labl><sumStat type="stdev">1.9583013152537072</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mean">-3.7053864168618555</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2782</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">168</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+kKZqyBP08wZG7rBkf6yUw==</notes></var><var ID="v35513916" name="V165762" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 4</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5848920266419304</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.020374707259968</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2991</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">50</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HCWFPCb3U1AUtHKS2mEm1g==</notes></var><var ID="v35514344" name="V165763" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 5</labl><sumStat type="max">2.0</sumStat><sumStat type="mean">-4.146838407494111</sumStat><sumStat type="stdev">1.384156606050438</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3074</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8Phy6NNNzRdeNMBZUEi0Eg==</notes></var><var ID="v35513835" name="V165764" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 6</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.160889929742374</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.358494321248228</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3083</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iimSHeTF7aPmj6Otg1zzww==</notes></var><var ID="v35514107" name="V165765" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 7</labl><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-4.166510538641665</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3495104659766561</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3087</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Qinhu1v9iqmNu7pWiqDKGQ==</notes></var><var ID="v35513498" name="V165766" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 8</labl><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.343999457133324</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.169555035128851</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3089</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x+jlc8X6DsVr2aYoMVQSZg==</notes></var><var ID="v35512963" name="V165767" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 9</labl><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35512662" name="V165768" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S101. Gender for roster person 10</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514042" name="V165769" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 1</labl><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.6433255269320775</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.4762060375667843</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">1065</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nJSePaGmFRwsimkjXXNndQ==</notes></var><var ID="v35514320" name="V165770" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 2</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-2.6480093676814938</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">2.4723326415497215</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">1071</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fIh/zjJ1+rss4f7i7pycuw==</notes></var><var ID="v35514365" name="V165771" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 3</labl><sumStat type="stdev">1.87405467924647</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-3.736299765808004</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">300</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2782</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:18rBaJVfIkew5OkCiBw6Pg==</notes></var><var ID="v35513996" name="V165772" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 4</labl><sumStat type="mean">-4.031381733021055</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.5460295187495656</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2991</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lyWoI2ppqX+D7cOwLeS03Q==</notes></var><var ID="v35512547" name="V165773" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 5</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.147775175644071</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.3803284382237055</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3074</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cmkRyh8oiinoj7QvVQRRjg==</notes></var><var ID="v35512981" name="V165774" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 6</labl><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.160655737704908</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">1.359470065060861</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3083</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:X/KURJCHoYJlQY9phZCB9Q==</notes></var><var ID="v35513691" name="V165775" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 7</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.3485264987792767</sumStat><sumStat type="mean">-4.166744730679213</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-5.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3087</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MXLZwhc3AEUcBodFx7D+ew==</notes></var><var ID="v35513843" name="V165776" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 8</labl><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.343999457133324</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-4.169555035128851</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">1.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3089</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x+jlc8X6DsVr2aYoMVQSZg==</notes></var><var ID="v35514356" name="V165777" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 9</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35512993" name="V165778" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S102. Citizenship for roster person 10</labl><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. U.S. Citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Not a Citizen</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514170" name="V165779" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 1</labl><sumStat type="stdev">1.3422002399804434</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.167213114754071</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3082</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6s5/NzIcVGo31RP4hJI2xg==</notes></var><var ID="v35512587" name="V165780" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 2</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-3.664168618266957</sumStat><sumStat type="stdev">1.3102133885697327</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1082</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LIFxcywzTzipZkf4ALfuMw==</notes></var><var ID="v35513090" name="V165781" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 3</labl><sumStat type="stdev">1.3523147988276054</sumStat><sumStat type="mean">-4.026697892271668</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2782</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">308</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+2KLjNlNPamIT2k+OgZ3qg==</notes></var><var ID="v35513790" name="V165782" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 4</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-4.12459016393439</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.3468266089031862</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2991</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4bCBFu5a2UVOdHm4IEEQZw==</notes></var><var ID="v35514016" name="V165783" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 5</labl><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3426618536557966</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-4.163466042154546</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3074</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wpBO6ByejJ6RxtFK9ensGw==</notes></var><var ID="v35512989" name="V165784" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 6</labl><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-4.167681498829016</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.3421417913752354</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3083</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IWvfGm2hJ6vcJQLt+7Nzyg==</notes></var><var ID="v35512964" name="V165785" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 7</labl><sumStat type="max">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mean">-4.16955503512885</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.341906336248988</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3087</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5XT4szyI/G2uhmfGYIHpcw==</notes></var><var ID="v35513839" name="V165786" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 8</labl><sumStat type="stdev">1.3417876119561627</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mean">-4.170491803278648</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3089</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5UBXNkxMS7FaPst7y6Mgjg==</notes></var><var ID="v35512691" name="V165787" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 9</labl><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514126" name="V165788" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RESTRICTED. WEB SCREENER: S103. Age for roster person 10</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514088" name="V165789" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 1</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-4.158548009367685</sumStat><sumStat type="stdev">1.365133460377486</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3082</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Yk4dKRlzTISrqaSvR+CK8A==</notes></var><var ID="v35513351" name="V165790" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 2</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.859459053496771</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">-2.4107728337236627</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2008</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">382</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">322</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">376</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JDK2rulkXIJ2stN128GJeA==</notes></var><var ID="v35513445" name="V165791" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 3</labl><sumStat type="mean">-3.7046838407494467</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.9647041470357198</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2782</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">203</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UnK9+HCd0J5fYkSgHO+nlw==</notes></var><var ID="v35514162" name="V165792" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 4</labl><sumStat type="max">3.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-4.0234192037470615</sumStat><sumStat type="stdev">1.5760310891038192</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">12</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2991</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lkpeUc5YbRbNVBddXHT7jA==</notes></var><var ID="v35514209" name="V165793" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 5</labl><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.3835392781045766</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-4.147072599531577</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3074</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AIGfV5Eq92SuQFsPKtIg6g==</notes></var><var ID="v35513777" name="V165794" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 6</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">1.359470065060861</sumStat><sumStat type="mean">-4.160655737704908</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3083</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SA1ZblmtPId2cU/3BCh1qA==</notes></var><var ID="v35513249" name="V165795" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 7</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mean">-4.166978922716586</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3477155939268854</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3087</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wx4ZSUiRRbhEg4xAjx62Eg==</notes></var><var ID="v35514244" name="V165796" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 8</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.343999457133324</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-4.169555035128851</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3089</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x+jlc8X6DsVr2aYoMVQSZg==</notes></var><var ID="v35512832" name="V165797" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 9</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-5.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35512897" name="V165798" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: S103. Age categories for roster person 10</labl><sumStat type="medn">-5.0</sumStat><sumStat type="stdev">1.341728000550372</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-4.170960187353667</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age group 60+</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age group 40-59 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Under 18 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age group 18-39 </labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0cLvgiQnL6migBfKKzRyow==</notes></var><var ID="v35514384" name="V165799" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Number of adults in HH before roster. Derived from s5 and s5d</labl><sumStat type="stdev">1.8983348946387435</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.8606557377049594</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7XGBePQGxk8xgQuv3fvwFw==</notes></var><var ID="v35512640" name="V165800" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Number of adults in HH - summary</labl><sumStat type="max">8.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.8606557377049594</sumStat><sumStat type="stdev">1.8983348946387435</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7XGBePQGxk8xgQuv3fvwFw==</notes></var><var ID="v35512638" name="V165801" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Number eligible adults in HH before roster. Derived from s6 and s6</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">1.8708326666817257</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.8238875878220928</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">8.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ldgIMo+/Ahj0Az0Os8whxw==</notes></var><var ID="v35512698" name="V165802" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Number of eligible adults in HH after roster. Roster.s102=citizen</labl><sumStat type="mean">-2.3032786885245935</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.015314005534045</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ihm7mmrN53tSccAH6w6VfA==</notes></var><var ID="v35514347" name="V165803" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Number of eligible U.S. Citizen adults in HH - summary</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">0.823185011709614</sumStat><sumStat type="stdev">1.8709541926427464</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. 6 eligible U.S. citizen adults</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. 5 eligible U.S. citizen adults</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. 7 eligible U.S. citizen adults</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1 eligible U.S. citizen adult</labl><catStat type="freq">939</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. 8 eligible U.S. citizen adults</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 3 eligible U.S. citizen adults</labl><catStat type="freq">337</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. No selection to Pre due to web_screener_selectedpre==-4,-5 | web_screener_numelig_prerost==-5 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. 4 eligible U.S. citizen adults</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 2 eligible U.S. citizen adults</labl><catStat type="freq">1679</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+RFxUGrm6c4U/HfWnwK6bQ==</notes></var><var ID="v35514369" name="V165804" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Selected person before roster. Derived from NUMELIG and RAND1</labl><sumStat type="max">6.0</sumStat><sumStat type="mean">0.4683840749415061</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6195421597607345</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vDeXTJbHMs54iAcAdM22sQ==</notes></var><var ID="v35514308" name="V165805" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Selection is Nth citizen listed in roster</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="stdev">2.930632804324111</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.3510538641686254</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zJxYVrgwy1FsEEQg7lrNqQ==</notes></var><var ID="v35512568" name="V165806" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Selection is Nth person listed in roster</labl><sumStat type="stdev">2.9420621688293735</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-2.343793911007025</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">6.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LnXuIlJpxtmnwCxKgO2pWg==</notes></var><var ID="v35513867" name="V165807" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Roster position selected for Pre (final summary)</labl><sumStat type="stdev">2.9420621688293735</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.343793911007025</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. No selection to Pre due to web_screener_selectedpre==-4,-5,-6,-7 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Screener R selected or no eligible person before roster; no roster completed</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Person 2 selected for Pre from roster</labl><catStat type="freq">905</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Person 6 selected for Pre from roster</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Person 5 selected for Pre from roster</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Person 4 selected for Pre from roster</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Person 1 selected for Pre from roster</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household after roster</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Person 3 selected for Pre from roster</labl><catStat type="freq">132</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LnXuIlJpxtmnwCxKgO2pWg==</notes></var><var ID="v35513097" name="V165808" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Roster size</labl><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.0326587665826903</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.292740046838407</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Inapplicable question</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:A01fuiiYv9R2gUON4AWfuw==</notes></var><var ID="v35513988" name="V165809" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Selection for Pre, detailed</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.762997658079598</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">2.735987902609802</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Person 3 selected: Person 3 on roster was eligible and was randomly selected</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Screener R selected: More than 1 U.S. citizen adult; Screener R is eligible and RAND1==1; no roster needed</labl><catStat type="freq">1086</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Person 1 selected: Screener R was under 18; Person 1 on roster was eligible and was randomly selected</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Screened, not a household</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. Incomplete screener</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Screened, R does not live at address</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Person 4 selected: Person 4 on roster was eligible and was randomly selected</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. Screener completed after a returned mail code assigned; screener data recorded but not used</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Person 6 selected: Person 6 on roster was eligible and was randomly selected</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Screened, no adult U.S. citizen</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Screener R selected: Screener R is only adult; Screener R is a U.S. citizen; no roster needed</labl><catStat type="freq">844</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Person 5 selected: Person 5 on roster was eligible and was randomly selected</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Person 2 selected: Person 2 on roster was eligible and was randomly selected</labl><catStat type="freq">905</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Screener R selected: More than 1 adult; Screener R is only U.S. citizen; no roster needed</labl><catStat type="freq">76</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mAKdmrzwUWICziObrD4zUg==</notes></var><var ID="v35514081" name="V165810" intrvl="contin"><location fileid="f10788397"/><labl level="variable">WEB SCREENER: Screener R selected for Pre</labl><sumStat type="mode">.</sumStat><sumStat type="mean">0.424824355971934</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.552649721210139</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. No Web screener completed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Inapplicable, FTF sample</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Screener R not selected for Pre</labl><catStat type="freq">1084</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Screener R selected for Pre</labl><catStat type="freq">2006</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. No selection to Pre due to web_screener_selectedpre==-4,-5,-6,-7 </labl><catStat type="freq">0</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No eligible person in household</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iZnvmxagepMx5s1QdXB2vQ==</notes></var><var ID="v35514149" name="V166001" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Assignment to forward or reverse response options for selected questions</labl><sumStat type="min">1.0</sumStat><sumStat type="stdev">0.500053073031522</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.4976580796252927</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Forward order (selected questions) or no response options</labl><catStat type="freq">2145</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Reverse order (selected questions)</labl><catStat type="freq">2125</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eFs7DEWYYHp9yvMxRsLvpg==</notes></var><var ID="v35514249" name="V166002" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Assignment to ballot color/ order of major party names in vote sections</labl><sumStat type="max">2.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5000558705233911</sumStat><sumStat type="mean">1.4983606557377043</sumStat><catgry><catValu>2</catValu><labl level="category">2. Republican cand names first (green ballot card) in vote sections</labl><catStat type="freq">2128</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democratic cand names first (yellow ballot card) in vote sections</labl><catStat type="freq">2142</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jzM/fDBv36m/j2CUY80BoQ==</notes></var><var ID="v35512687" name="V166003" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Assignment of contribution amount for CAMPFIN_DIRECT (V162236)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.4812942624416006</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.6646370023419212</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. $50 </labl><catStat type="freq">729</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. $5,000 </labl><catStat type="freq">735</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. $250 </labl><catStat type="freq">755</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. $2,000 </labl><catStat type="freq">725</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. $1,000 </labl><catStat type="freq">704</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8kkvt6VoqPFaRgHUWoaWyA==</notes></var><var ID="v35513580" name="V166004" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 1st</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">1.7313655752828467</sumStat><sumStat type="mean">3.5248243559718953</sumStat><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">701</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">720</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">651</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">722</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">724</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">752</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bzZpCwKhN5Fn5FF6nPDWIg==</notes></var><var ID="v35513961" name="V166005" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 2nd</labl><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6938376200306864</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">3.4718969555035133</sumStat><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">754</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">670</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">693</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">717</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">724</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">712</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6fSu0Jyd8WjgxwpSEqUj6g==</notes></var><var ID="v35513788" name="V166006" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 3rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">3.5105386416861832</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="stdev">1.712603696755867</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">4.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">690</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">700</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">709</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">739</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">694</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">738</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lgulnxWVxkd9UHYWtTj66Q==</notes></var><var ID="v35513054" name="V166007" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 4th</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.7000060554279153</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">3.4992974238875876</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">704</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">710</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">713</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">700</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">713</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">730</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:E8S+cQzbaQPbrrCw1C7btg==</notes></var><var ID="v35513382" name="V166008" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 5th</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">3.5386416861826686</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">1.6999803039783035</sumStat><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">724</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">720</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">723</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">690</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">738</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">675</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jqDyW78PEiOgIp/j359G8w==</notes></var><var ID="v35512929" name="V166009" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political figure thermometers (THERMPRE) - 6th</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">3.4548009367681485</sumStat><sumStat type="stdev">1.7086154431124139</sumStat><sumStat type="max">6.0</sumStat><sumStat type="medn">3.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Bill Clinton</labl><catStat type="freq">705</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Tim Kaine</labl><catStat type="freq">740</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Barack Obama</labl><catStat type="freq">697</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Gary Johnson</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Jill Stein</labl><catStat type="freq">682</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Mike Pence</labl><catStat type="freq">731</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FJZ9NNe5ujrvU6QDhn9PdA==</notes></var><var ID="v35512542" name="V166010" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 1st</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">5.590866510538641</sumStat><sumStat type="stdev">2.864645593550462</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">450</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">399</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">435</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ptF0MRPBBLYwH5GTcmfTnw==</notes></var><var ID="v35512880" name="V166011" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 2nd</labl><sumStat type="mean">5.549414519906324</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">2.8755344573876918</sumStat><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">401</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">422</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">404</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">484</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">439</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4pxsEFE2YGD/9z9CWx9aVQ==</notes></var><var ID="v35513911" name="V166012" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 3rd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.588056206088993</sumStat><sumStat type="stdev">2.8727355801398433</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">417</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">454</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">474</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">409</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">401</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KjZ1xfKX7r9njK2uR64xEA==</notes></var><var ID="v35513651" name="V166013" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 4th</labl><sumStat type="medn">6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.867377217679782</sumStat><sumStat type="mean">5.5948477751756425</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">423</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">466</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">417</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">385</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">454</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x6bMLfMwGYQSg3uAFARvJA==</notes></var><var ID="v35512637" name="V166014" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 5th</labl><sumStat type="max">10.0</sumStat><sumStat type="mean">5.5749414519906315</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.877018524512316</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">430</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">437</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">394</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">447</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">453</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FE4tKj5ILUyQRSoCkMuV/A==</notes></var><var ID="v35513796" name="V166015" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 6th</labl><sumStat type="mean">5.431615925058547</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">2.873434345101618</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">399</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">450</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">431</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:owothKgk1QU6OLb7c2ftnA==</notes></var><var ID="v35514055" name="V166016" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 7th</labl><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">5.390163934426231</sumStat><sumStat type="stdev">2.8669237908914678</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">401</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">484</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">422</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">439</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">404</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">420</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eD+wEqlkoGuek7Wg5inQRQ==</notes></var><var ID="v35512544" name="V166017" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 8th</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">5.4288056206089</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">2.864220885514586</sumStat><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">409</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">474</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">454</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">417</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">401</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">406</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LNJAdc7zyVgcizc0Vzasug==</notes></var><var ID="v35513798" name="V166018" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 9th</labl><sumStat type="mode">.</sumStat><sumStat type="mean">5.43559718969555</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">2.8849164372856455</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">423</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">454</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">466</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">417</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">385</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IZkJXbi7Ze/5CTWtwtL4SQ==</notes></var><var ID="v35514175" name="V166019" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate affects (CANDAFF) - 10th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.415690866510538</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">2.8677881921442623</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>9</catValu><labl level="category">9. Proud (Trump)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Angry (Trump)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Angry (Clinton)</labl><catStat type="freq">447</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Disgusted (Clinton)</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hopeful (Clinton)</labl><catStat type="freq">427</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Afraid (Clinton)</labl><catStat type="freq">453</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hopeful (Trump)</labl><catStat type="freq">437</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Disgusted (Trump)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Afraid (Trump)</labl><catStat type="freq">394</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Proud (Clinton)</labl><catStat type="freq">430</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7PMtjt/3NnxNBkYffrZ3cQ==</notes></var><var ID="v35513165" name="V166020" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 1st</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">2.873218257070961</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.464871194379393</sumStat><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">394</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">434</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">421</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">456</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">448</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i/A/1Ocg+INr57e5od70pA==</notes></var><var ID="v35514039" name="V166021" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 2nd</labl><sumStat type="medn">5.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.8806181930729218</sumStat><sumStat type="mean">5.399063231850118</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">423</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">422</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">477</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">479</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">407</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">430</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">389</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rI8ej546Zh3hI9CtzRVCpg==</notes></var><var ID="v35514226" name="V166022" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 3rd</labl><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.4725995316159235</sumStat><sumStat type="stdev">2.8953114393856625</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">425</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">437</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">446</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OCcuWTGe6KYtkLqfZKvqfw==</notes></var><var ID="v35513503" name="V166023" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 4th</labl><sumStat type="max">10.0</sumStat><sumStat type="mean">5.460187353629976</sumStat><sumStat type="stdev">2.86466554807007</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">430</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">439</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">452</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">414</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HR8bWllfC7id/hPlV+h2vg==</notes></var><var ID="v35514048" name="V166024" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 5th</labl><sumStat type="mean">5.463231850117095</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">2.8464131448475967</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">469</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">421</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">429</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">419</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">426</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rgrSOWJ/f2BMMRm3SCSK1g==</notes></var><var ID="v35513495" name="V166025" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 6th</labl><sumStat type="max">10.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.8535614557175846</sumStat><sumStat type="mean">5.560889929742389</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">456</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">413</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">394</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">421</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">434</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">448</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">431</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HNfZGi/VvOI2qAxyWIPWsw==</notes></var><var ID="v35513505" name="V166026" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 7th</labl><sumStat type="max">10.0</sumStat><sumStat type="stdev">2.8856311876216387</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="mean">5.4950819672131175</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">430</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">407</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">477</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">479</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">431</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">389</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">423</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">422</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">416</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NsgvVfSuPDfItpxeWv/p0w==</notes></var><var ID="v35514220" name="V166027" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 8th</labl><sumStat type="stdev">2.8522364823046757</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">5.568618266978925</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">446</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">416</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">400</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">437</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">440</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">425</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nZ4wraDHxqFxFnJGrV2vAQ==</notes></var><var ID="v35512534" name="V166028" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 9th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8697014396026934</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">5.556206088992974</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">452</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">432</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">435</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">430</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">439</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">442</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WHxBIxnlAYGrTYc14vLVRg==</notes></var><var ID="v35513366" name="V166029" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidate traits (CTRAIT) - 10th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.559250585480093</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.8990394125550756</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">6.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Strong leadership (Clinton)</labl><catStat type="freq">419</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Really cares (Trump)</labl><catStat type="freq">421</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Speaks mind (Clinton)</labl><catStat type="freq">406</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Strong leadership (Trump)</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Honest (Trump)</labl><catStat type="freq">420</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Speaks mind (Trump)</labl><catStat type="freq">469</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Knowledgeable (Clinton)</labl><catStat type="freq">426</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Honest (Clinton)</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Knowledgeable (Trump)</labl><catStat type="freq">442</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Really cares (Clinton)</labl><catStat type="freq">429</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WfAd9vKhE4EXxANLK+Qxww==</notes></var><var ID="v35514311" name="V166030" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 1st</labl><sumStat type="min">1.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.270586797746739</sumStat><sumStat type="mean">4.467915690866511</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">578</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">546</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">511</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">518</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">527</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">512</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">520</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">558</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J78HeFxDMkqhTaM5ATAcLw==</notes></var><var ID="v35513257" name="V166031" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 2nd</labl><sumStat type="max">8.0</sumStat><sumStat type="mean">4.52927400468384</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.294536104679791</sumStat><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">546</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">513</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">554</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">535</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">538</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">550</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">509</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">525</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ujxVVWb84d2pLnY3KwZ/Fg==</notes></var><var ID="v35513365" name="V166032" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 3rd</labl><sumStat type="min">1.0</sumStat><sumStat type="mean">4.504215456674473</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="stdev">2.305107740728081</sumStat><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">548</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">528</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">518</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">558</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">549</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">545</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">513</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">511</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zFPNVpVle7LOzntt9IlhPQ==</notes></var><var ID="v35513259" name="V166033" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 4th</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">2.2694022928166007</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mean">4.4822014051522245</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">551</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">516</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">555</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">531</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">514</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">515</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">545</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QQXaavgkNSAJ1Rmq1W3nXQ==</notes></var><var ID="v35514332" name="V166034" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 5th</labl><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.58454332552693</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.2952066859941684</sumStat><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">514</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">519</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">592</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">501</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">546</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">530</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">548</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">520</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:V/1g3LrfObr0p1TAEGuIuA==</notes></var><var ID="v35514417" name="V166035" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 6th</labl><sumStat type="stdev">2.306606850248008</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.4885245901639355</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">548</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">561</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">541</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">525</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">543</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">515</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">511</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">526</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pBgy7vhs0xTG1R7qOYpErw==</notes></var><var ID="v35514134" name="V166036" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 7th</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">2.3030856589201902</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mean">4.479156908665106</sumStat><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">513</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">520</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">525</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">558</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">532</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">564</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">530</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">528</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pTM84Up5vCpxD4HU6Un4oQ==</notes></var><var ID="v35514168" name="V166037" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Federal budget spending items (FEDSPEND) - 8th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">4.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mean">4.464168618266978</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.2851336897420667</sumStat><catgry><catValu>5</catValu><labl level="category">5. Welfare programs</labl><catStat type="freq">514</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Science and technology</labl><catStat type="freq">565</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Protecting the environment</labl><catStat type="freq">516</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Public schools</labl><catStat type="freq">542</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Aid to the poor</labl><catStat type="freq">541</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Dealing with crime</labl><catStat type="freq">547</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Social Security</labl><catStat type="freq">532</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Child care</labl><catStat type="freq">513</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/3Ytw0qEmiD6zOO2AgrTbg==</notes></var><var ID="v35512538" name="V166038" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: R consider voting a duty or choice/choice or duty</labl><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.502576112412178</sumStat><sumStat type="stdev">0.5000519211185293</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Version 1A</labl><catStat type="freq">2124</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Version 1B</labl><catStat type="freq">2146</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0VIVbehyUWGmsR+JFio+SA==</notes></var><var ID="v35513667" name="V166039" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Social class - 4 question set/2 question set</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6231850117095976</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.48464467398662</sumStat><catgry><catValu>1</catValu><labl level="category">1. Selected for 4 question set</labl><catStat type="freq">1609</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Selected for 2 question set</labl><catStat type="freq">2661</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s088dQle31m1aF9fLHCv+A==</notes></var><var ID="v35513735" name="V166040" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Party order Presidential candidates likes-dislikes (CANDLIK)</labl><sumStat type="mean">1.505386416861826</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5000295405684738</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Rep/Dem</labl><catStat type="freq">2158</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Dem/Rep</labl><catStat type="freq">2112</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rMKWuYCzkX3G3+bOJmbOLQ==</notes></var><var ID="v35512571" name="V166041" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Party order political party likes-dislikes (PTYLIK)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.5000023863502782</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mean">1.507494145199063</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Rep/Dem</labl><catStat type="freq">2167</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Dem/Rep</labl><catStat type="freq">2103</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TfPIL71ST1zZI+p+44lRUQ==</notes></var><var ID="v35513636" name="V166042" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates thermometers (THERMPRE)</labl><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.5000462163675689</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.5035128805620606</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2120</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2150</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BxH32zR4KZdYaGI3b711Mw==</notes></var><var ID="v35513191" name="V166043" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political party thermometers (THERMPRE)</labl><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.500046216367569</sumStat><sumStat type="mean">1.4964871194379394</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Rep Party/Dem Party</labl><catStat type="freq">2120</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Dem Party/Rep Party</labl><catStat type="freq">2150</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xy/b9RSC26KjK9ySVMripA==</notes></var><var ID="v35513978" name="V166044" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates liberal/conservative scale (LIBCPRE)</labl><sumStat type="min">1.0</sumStat><sumStat type="stdev">0.49992140865269874</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.5117096018735363</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2085</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2185</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4E+R28rHpbdSzK0wQ2o5OQ==</notes></var><var ID="v35513405" name="V166045" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political parties liberal/conservative scale (LIBCPRE)</labl><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.5000343678306781</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">1.4950819672131153</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Dem Party/Rep Party</labl><catStat type="freq">2156</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Rep Party/Dem Party</labl><catStat type="freq">2114</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p0OOtyn28lxrmP6O5DzLRg==</notes></var><var ID="v35512588" name="V166046" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of political parties for party ID (PTYID)</labl><sumStat type="mode">.</sumStat><sumStat type="mean">1.4873536299765802</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.49989858330068293</sumStat><catgry><catValu>2</catValu><labl level="category">2. Rep Party/Dem Party</labl><catStat type="freq">2081</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Dem Party/Rep Party</labl><catStat type="freq">2189</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k0zpJHilY9IafGdj4TGa4Q==</notes></var><var ID="v35514093" name="V166047" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - services/spending scale (SPSRVPR)</labl><sumStat type="min">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.497658079625293</sumStat><sumStat type="stdev">0.5000530730315217</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2125</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2145</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5frtJSAb3bsr0MRABU+VbA==</notes></var><var ID="v35513801" name="V166048" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - defense spending scale (DEFSPPR)</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.5011709601873542</sumStat><sumStat type="stdev">0.5000571869847712</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2140</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2130</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9roGOP8m+GNwFOuDN4PiNg==</notes></var><var ID="v35513010" name="V166049" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - health insurance scale (INSPRE)</labl><sumStat type="medn">1.5</sumStat><sumStat type="stdev">0.5000585582949832</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.5</sumStat><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2135</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2135</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pyQowGjVWVAQv3mLdWn5GA==</notes></var><var ID="v35512710" name="V166050" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - jobs/std living scale (GUARPR)</labl><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.5000343678306783</sumStat><sumStat type="mean">1.504918032786885</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2114</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2156</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BZnZ7CPaKQn754e3h3kWRg==</notes></var><var ID="v35513747" name="V166051" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - gov assistance to blacks scale (AIDBP</labl><sumStat type="stdev">0.5000214767424462</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.5060889929742391</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2109</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2161</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SIEpmoCk/uaB3BI/fbwZmg==</notes></var><var ID="v35513006" name="V166052" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates - envorinment/jobs scale (ENVJOB)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5000185693447203</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">1.4936768149882902</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">2162</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">2108</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a1ogELEugENiDdPfzLFmtw==</notes></var><var ID="v35514200" name="V166053" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of federal government spending (LEASTSP) responses - 1st</labl><sumStat type="mean">2.4365339578454352</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="stdev">1.2215658670827094</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Foreign aid</labl><catStat type="freq">1100</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Social Security</labl><catStat type="freq">1060</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. National defense</labl><catStat type="freq">1044</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Medicare</labl><catStat type="freq">1016</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7CNEqlfqTxIqEegOMI7L/A==</notes></var><var ID="v35513187" name="V166054" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of federal government spending (LEASTSP) responses - 2nd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="stdev">1.2042500118297799</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.4306791569086634</sumStat><catgry><catValu>1</catValu><labl level="category">1. Foreign aid</labl><catStat type="freq">1056</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Medicare</labl><catStat type="freq">1085</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Social Security</labl><catStat type="freq">1016</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. National defense</labl><catStat type="freq">1063</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VFXXl1Obh27EQgdXbN3WZw==</notes></var><var ID="v35514199" name="V166055" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of federal government spending (LEASTSP) responses - 3rd</labl><sumStat type="mean">2.440515222482437</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2125283831720368</sumStat><sumStat type="max">4.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Medicare</labl><catStat type="freq">1122</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Foreign aid</labl><catStat type="freq">1043</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. National defense</labl><catStat type="freq">986</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Social Security</labl><catStat type="freq">1069</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CTPslTXCWSMYjzv+/hi0wQ==</notes></var><var ID="v35513558" name="V166056" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of federal government spending (LEASTSP) responses - 4th</labl><sumStat type="stdev">1.2107543406632983</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">2.481498829039812</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Medicare</labl><catStat type="freq">997</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Foreign aid</labl><catStat type="freq">1021</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Social Security</labl><catStat type="freq">1075</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. Missing</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. National defense</labl><catStat type="freq">1127</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WmF/1Ga+Nohf3CW8EyuY0g==</notes></var><var ID="v35513353" name="V166057" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 1st</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.05105386416864</sumStat><sumStat type="stdev">16.121572492014494</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">21.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">85</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3ZunuDwStl6bo/QVCNR/rQ==</notes></var><var ID="v35513008" name="V166058" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 2nd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.295316159250586</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">16.095642682338056</sumStat><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">90</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:f6EoTjClLiTqQDDTJauzuA==</notes></var><var ID="v35512616" name="V166059" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 3rd</labl><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">22.236065573770496</sumStat><sumStat type="stdev">16.14251972447191</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BiLPFy/lpOhALbsKg2n7Cg==</notes></var><var ID="v35514410" name="V166060" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 4th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="stdev">16.132574196302993</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mean">22.336768149882896</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">79</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kFZ6G5t3PYk035E395x7EA==</notes></var><var ID="v35512849" name="V166061" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 5th</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.48665105386416</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">16.031319918955337</sumStat><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">90</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">82</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xdQ2x8w+MrTwW+PcbQXupw==</notes></var><var ID="v35513983" name="V166062" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 6th</labl><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.534426229508195</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">16.298920914894573</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">80</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:o5Jn+uZnDqX/rqwLngoDYQ==</notes></var><var ID="v35512867" name="V166063" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 7th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.390866510538622</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">16.00332774449148</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">76</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">69</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cSf/X7lNwltSFOpTLV5FmA==</notes></var><var ID="v35514219" name="V166064" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 8th</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="stdev">16.079820761260333</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">22.462060889929752</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">76</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">99</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">78</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sVkrqpiQx8cxB8nx/HLfew==</notes></var><var ID="v35514389" name="V166065" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 9th</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">15.906955139804248</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">21.945433255269315</sumStat><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">74</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JLtVTPp1WndHlBthT5XCwQ==</notes></var><var ID="v35514172" name="V166066" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 10th</labl><sumStat type="mean">22.706323185011712</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="stdev">16.131819146050432</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">74</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">67</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ETZmXYw2RHXJmR8ojM3YUQ==</notes></var><var ID="v35513723" name="V166067" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 11th</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.432318501170965</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">16.215894819558358</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">22.0</sumStat><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">82</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">76</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">70</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+zGHC0uxKm508k+wP+st5A==</notes></var><var ID="v35512551" name="V166068" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 12th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">16.11807369850529</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.671896955503502</sumStat><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">78</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">76</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iPymcq3mpz+ejqcxcmRNmg==</notes></var><var ID="v35514127" name="V166069" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 13th</labl><sumStat type="max">64.0</sumStat><sumStat type="mean">21.813817330210767</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">21.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">15.940456263347723</sumStat><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">102</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">67</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">87</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XrWBtq5LDkAfAOcnS6c8pQ==</notes></var><var ID="v35513128" name="V166070" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 14th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.652927400468375</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">16.117596354694676</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">74</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">68</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I4dcpySz1FqWAgJVnlJ1ww==</notes></var><var ID="v35514409" name="V166071" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 15th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.3072599531616</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">16.259079485504866</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">76</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gPrQH81m77RKV0J5q3Svug==</notes></var><var ID="v35513231" name="V166072" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 16th</labl><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">22.2847775175644</sumStat><sumStat type="stdev">15.923509115401934</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">88</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">78</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">89</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J/5puSRPYshuwfGeKm6EkA==</notes></var><var ID="v35512546" name="V166073" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 17th</labl><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.14994369379832</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.69836065573771</sumStat><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dVaPAKNykRXgucKWb/8/dA==</notes></var><var ID="v35512960" name="V166074" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 18th</labl><sumStat type="stdev">16.053863950583754</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">22.096018735362986</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">84</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">84</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">72</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PtSWPXlpU9U0s8cSPiU6MA==</notes></var><var ID="v35513718" name="V166075" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 19th</labl><sumStat type="mean">22.69414519906321</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.133364261855352</sumStat><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">72</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:e9/h9DlF0ThjC07ipzECXQ==</notes></var><var ID="v35513955" name="V166076" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 20th</labl><sumStat type="max">64.0</sumStat><sumStat type="mean">22.2360655737705</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.116480189082488</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">76</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">76</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K3JOKKJyIKOJWSD9YPrrFw==</notes></var><var ID="v35513083" name="V166077" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 21st</labl><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">21.0</sumStat><sumStat type="mean">22.00819672131149</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">15.876947707940328</sumStat><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">72</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">80</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xsU+4KKSJECPuCXCTR/tNA==</notes></var><var ID="v35513274" name="V166078" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 22nd</labl><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.04584698699263</sumStat><sumStat type="mean">22.481498829039808</sumStat><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4v8UUyrxQkQ7+j3AGBB7yA==</notes></var><var ID="v35513474" name="V166079" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 23rd</labl><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">16.007602031034914</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.220843091334896</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">84</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:U+YiMF7M8vFaTAa/C5j0HA==</notes></var><var ID="v35514031" name="V166080" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 24th</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.679156908665096</sumStat><sumStat type="stdev">16.207416734886703</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">23.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">67</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">74</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">71</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6E1+u7pkoFWKUxzS6r7a7w==</notes></var><var ID="v35513161" name="V166081" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 25th</labl><sumStat type="mean">22.434426229508205</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.131219499039187</sumStat><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">63</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">85</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:N7kNN4JXAEpiyEt2izSSNw==</notes></var><var ID="v35512761" name="V166082" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 26th</labl><sumStat type="medn">21.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.0592505854801</sumStat><sumStat type="stdev">15.957912036700337</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">68</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M5DRQKGK/616wm9amt9eOg==</notes></var><var ID="v35513303" name="V166083" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 27th</labl><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.175177623044856</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.825292740046837</sumStat><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">60</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">88</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jzudkq82ILNX0a7vEl7xiQ==</notes></var><var ID="v35513225" name="V166084" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 28th</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.176346604215453</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">15.883906319716756</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">84</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">89</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lOuhzMAWJZ4Cy+6ytQ8Xmg==</notes></var><var ID="v35513661" name="V166085" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 29th</labl><sumStat type="mean">22.116627634660432</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">21.0</sumStat><sumStat type="stdev">16.00210749353665</sumStat><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">92</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RIUAMFvXB3bBLPcWxr+nPQ==</notes></var><var ID="v35513484" name="V166086" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 30th</labl><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.282435597189693</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.062505154441222</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">100</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">76</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:srOlpVhaJumYNUDhVCHO0Q==</notes></var><var ID="v35514079" name="V166087" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 31st</labl><sumStat type="mean">22.25222482435597</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.22331388147412</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">21.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">83</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">70</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vE+tHBU4+PmVsW09m+m/3w==</notes></var><var ID="v35513321" name="V166088" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 32nd</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">16.08218759657072</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.369086651053863</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">70</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">86</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">84</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4rSZLJNDYsrOETnn/i7OLQ==</notes></var><var ID="v35513794" name="V166089" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 33rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">21.98313817330211</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">15.935751670223338</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">67</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BjYydK2zeatNIZhHM+AAUg==</notes></var><var ID="v35512560" name="V166090" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 34th</labl><sumStat type="mean">22.400234192037463</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">16.107458597795393</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">79</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">15</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">65</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I86LYeF3b/fWLFWmFhgkEQ==</notes></var><var ID="v35513992" name="V166091" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 35th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.466744730679146</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">16.195563289455706</sumStat><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">78</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:h7ofRbvZeDmCrVFYhB+H9A==</notes></var><var ID="v35513758" name="V166092" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 36th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.33067915690866</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">15.927181751209469</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">84</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">92</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QbqkE/wx+i2FyPbQpajACg==</notes></var><var ID="v35513899" name="V166093" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 37th</labl><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">15.905490975398003</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.177517564402805</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">78</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9vJT+mGAERR5UFVsVpEQUw==</notes></var><var ID="v35512714" name="V166094" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 38th</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">16.148631823771485</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">22.167915690866522</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">102</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">83</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BfXP1OpRKmmDBgmTliMOVg==</notes></var><var ID="v35513615" name="V166095" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 39th</labl><sumStat type="stdev">16.05378439187007</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.536768149882906</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">68</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">64</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+Sc/FysBihdenTTCl/KbdQ==</notes></var><var ID="v35513844" name="V166096" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 40th</labl><sumStat type="medn">23.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">22.788056206089</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">16.248546727573423</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">77</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">75</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">80</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Jibtoy7zpka6YSc2Ak1Qgw==</notes></var><var ID="v35513433" name="V166097" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 41st</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.80819672131147</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">16.196135572288025</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">66</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">87</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">74</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:f/kdashhGmJ3t223VcdqTA==</notes></var><var ID="v35512983" name="V166098" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 42nd</labl><sumStat type="mean">22.16838407494145</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.066854441065498</sumStat><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">86</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">73</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MFLYhtOAj7YZPBDU7GpRTA==</notes></var><var ID="v35514234" name="V166099" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 43rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">16.093326084167295</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">23.0</sumStat><sumStat type="mean">22.702576112412164</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">73</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">78</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">77</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CdNo1ePCeCaJwP68aO25vQ==</notes></var><var ID="v35514068" name="V166100" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 44th</labl><sumStat type="stdev">16.050690112482137</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">22.552693208430906</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">71</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">98</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">88</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">59</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">72</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1oJTRNgRbIKjUPvaq8HVEA==</notes></var><var ID="v35512660" name="V166101" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 45th</labl><sumStat type="mean">22.215456674473078</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">15.94752888830609</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">22.0</sumStat><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">86</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">72</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xCtwS7FI6166EgjcgMjLuw==</notes></var><var ID="v35513913" name="V166102" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 46th</labl><sumStat type="mean">22.460889929742397</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">16.199339241231005</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">95</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">74</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">83</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:czolNCXvIOY/+AOlAa10jg==</notes></var><var ID="v35514313" name="V166103" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 47th</labl><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">22.0</sumStat><sumStat type="mean">22.255737704918033</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">15.984772081356331</sumStat><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">68</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">83</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">84</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">81</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EvtlHqikfNR5BOIkL2Yvvg==</notes></var><var ID="v35512709" name="V166104" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs R watches regularly - 48th</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">22.31077283372367</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">16.106350435461362</sumStat><sumStat type="medn">22.0</sumStat><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">81</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">73</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">480</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">62</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">64</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">86</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">74</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Vc72Poq/T9rR8sfmf1jd2w==</notes></var><var ID="v35513264" name="V166105" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 49th</labl><sumStat type="stdev">11.599048143053087</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">2.2283372365339633</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K+o2CrWnbv+2+wnlOySk8Q==</notes></var><var ID="v35514400" name="V166106" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 50th</labl><sumStat type="stdev">11.537791809511457</sumStat><sumStat type="mean">2.2180327868852325</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ulBnNLN6E7EFpqPNqkFjHg==</notes></var><var ID="v35514398" name="V166107" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 51st</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">11.416152356129446</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mean">2.171428571428565</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MP1MmBqo/7vxXbLedzZ8DQ==</notes></var><var ID="v35513482" name="V166108" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 52nd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.1625292740046533</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">11.36493195337948</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">14</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:V3yZ/NRtzqR8LJbcd1yGMw==</notes></var><var ID="v35513902" name="V166109" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 53rd</labl><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">2.0400468384074695</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">11.03303406638057</sumStat><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">8</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:uGyPfs9jse+0gqXY5dlSsg==</notes></var><var ID="v35514001" name="V166110" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 54th</labl><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.099297423887628</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">11.156942737869175</sumStat><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cRVeVkZz6WfHPjH2VRQroA==</notes></var><var ID="v35514120" name="V166111" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 55th</labl><sumStat type="mean">2.1124121779859397</sumStat><sumStat type="stdev">11.231064511521772</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JJPqahZe8XF42/DKs/Sj9g==</notes></var><var ID="v35514030" name="V166112" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 56th</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">2.0784543325527154</sumStat><sumStat type="stdev">11.226252547642096</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t0H6SjtWwfeqhp9OzjPt8Q==</notes></var><var ID="v35513250" name="V166113" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 57th</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">11.41729856991444</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">2.157377049180339</sumStat><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5ctyTrht5z/5zNGc2HnaQw==</notes></var><var ID="v35513836" name="V166114" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 58th</labl><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.1103044496486754</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">11.307444076566371</sumStat><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:615gCgtoYs5uTHFWxfnqdw==</notes></var><var ID="v35513766" name="V166115" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 59th</labl><sumStat type="max">64.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">1.8840749414519975</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">10.671653683436318</sumStat><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">9</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Kt7jUoAa8P6gWF0PQK3+CQ==</notes></var><var ID="v35514265" name="V166116" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 60th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">2.0543325526932192</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">11.040857646078985</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1Egm9X4O/sgdjcl02KB7nQ==</notes></var><var ID="v35512611" name="V166117" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 61st</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">2.0370023419203607</sumStat><sumStat type="max">64.0</sumStat><sumStat type="stdev">10.982045800632312</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">7</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">2</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">10</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SDyg4ohFDhM1Ig2G5r1Hyw==</notes></var><var ID="v35512842" name="V166118" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 62nd</labl><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">2.0501170960187167</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">11.150656737962148</sumStat><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">6</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:usPfFowj7ClS+PMUQSzgIA==</notes></var><var ID="v35513211" name="V166119" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 63rd</labl><sumStat type="mode">.</sumStat><sumStat type="max">64.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">11.268027298865553</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.1100702576112846</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">5</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">7</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9yTq55D4QY2i/leUCs4giQ==</notes></var><var ID="v35514309" name="V166120" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: television programs (Spanish) R watches regularly - 64th</labl><sumStat type="stdev">10.908818573289262</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">64.0</sumStat><sumStat type="mean">2.0044496487119674</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>55</catValu><labl level="category">55. Enfoque</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Scorpion</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Good Morning America</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Madam Secretary</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Jimmy Kimmel Live</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>27</catValu><labl level="category">27. NBC Nightly News with Lester Holt</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 20/20 </labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Modern Family</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>64</catValu><labl level="category">64. Cronicas de Sabado</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>43</catValu><labl level="category">43. Scandal</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>26</catValu><labl level="category">26. Game of Thrones</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. CBS Evening News with Scott Pelley</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. CBS This Morning</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3877</catStat></catgry><catgry><catValu>49</catValu><labl level="category">49. Al Punto</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. Hoy</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>50</catValu><labl level="category">50. Al Rojo Vivo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>45</catValu><labl level="category">45. The Late Show with Stephen Colbert</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>28</catValu><labl level="category">28. On the Record with Greta Van Susteren</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. Judge Judy</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Empire</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>25</catValu><labl level="category">25. Meet the Press</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. El Senor de los Cielos</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. CNN en Espanol</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Face the Nation</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>41</catValu><labl level="category">41. Erin Burnett OutFront</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Hannity</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. Que Noche! con Angelica y Raul</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. The Nightly Show with Larry Wilmore</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>48</catValu><labl level="category">48. Alpha House</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. Aqui y Ahora</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>38</catValu><labl level="category">38. Hawaii Five-O</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. NCIS</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Today</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. 60 Minutes</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>20</catValu><labl level="category">20. Dancing with the Stars</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. Lo Mejor de Caso Cerrado</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Daredevil</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. The Voice</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. Despierta America</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Criminal Minds</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>42</catValu><labl level="category">42. PBS News Hour</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Conan</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Anderson Cooper 360 </labl><catStat type="freq">3</catStat></catgry><catgry><catValu>54</catValu><labl level="category">54. El Gordo y La Flaca</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>40</catValu><labl level="category">40. Nancy Grace</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>33</catValu><labl level="category">33. ABC World News with David Muir</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Shark Tank</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>63</catValu><labl level="category">63. Primer Impacto</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Blue Bloods</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Hardball with Chris Matthews</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Blacklist</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>46</catValu><labl level="category">46. The O'Reilly Factor</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Dateline NBC</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>58</catValu><labl level="category">58. Noticiero Enrique Gratas</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. The Kelly File</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. All In with Chris Hayes</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>44</catValu><labl level="category">44. The Big Bang Theory</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>30</catValu><labl level="category">30. The Rachel Maddow Show</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Simpsons</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>22</catValu><labl level="category">22. House of Cards</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>60</catValu><labl level="category">60. Noticiero Univision</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. Noticiero Telemundo</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Sunday Night Football</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>47</catValu><labl level="category">47. The Tonight Show Starring Jimmy Fallon</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k2RFvRpXLVtPeZU+R0ySYA==</notes></var><var ID="v35514117" name="V166121" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 1st</labl><sumStat type="stdev">5.516569608032607</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">3.8285714285714345</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IoHXOoiT11GDxprX4Q93Vw==</notes></var><var ID="v35513544" name="V166122" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 2nd</labl><sumStat type="medn">1.0</sumStat><sumStat type="stdev">5.547335895861114</sumStat><sumStat type="mean">3.8482435597189624</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">158</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nDqhWS3VwB5vkJ8d0/PmsA==</notes></var><var ID="v35512883" name="V166123" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 3rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">3.7922716627634707</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">5.503267731003725</sumStat><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">148</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iKVm5fge/ViEX4/a/Z96yw==</notes></var><var ID="v35513764" name="V166124" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 4th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mean">3.831615925058553</sumStat><sumStat type="stdev">5.544046922406406</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">161</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:12MPWz8Oxj1A9IBBXw+viQ==</notes></var><var ID="v35513034" name="V166125" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 5th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.8163934426229567</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="stdev">5.482612744505059</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">137</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WcQSrmRQ4OXcpWSK+OaisQ==</notes></var><var ID="v35512572" name="V166126" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 6th</labl><sumStat type="medn">2.0</sumStat><sumStat type="mean">3.8454332552693247</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.537622043238855</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">134</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">167</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FB4aQJnWgpMNERP7BQQY1A==</notes></var><var ID="v35512812" name="V166127" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 7th</labl><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">5.512324935094417</sumStat><sumStat type="mean">3.805620608899301</sumStat><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">160</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s72XNJNsbUZEasWD7tjP+A==</notes></var><var ID="v35512886" name="V166128" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 8th</labl><sumStat type="max">15.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.5</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">5.482760615467131</sumStat><sumStat type="mean">3.7782201405152276</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">145</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5lpPZtII1G/lbN6vzjsDgg==</notes></var><var ID="v35512614" name="V166129" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 9th</labl><sumStat type="min">-5.0</sumStat><sumStat type="mean">3.682201405152223</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">5.415544359435877</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">129</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5G3F9yZXGaW6rA3bQZUPIA==</notes></var><var ID="v35513001" name="V166130" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 10th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.572946042861317</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">3.872365339578453</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">137</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">145</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:atgeFRbVWM1d+hp5G0IRQA==</notes></var><var ID="v35513061" name="V166131" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 11th</labl><sumStat type="mean">3.795081967213113</sumStat><sumStat type="stdev">5.511581892218422</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">142</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kP40HNeBUYSk65TXv6k5cw==</notes></var><var ID="v35513371" name="V166132" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 12th</labl><sumStat type="min">-5.0</sumStat><sumStat type="mean">3.8217798594847845</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">5.55180408262148</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">167</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jk/KBsdPnUcp9YzQtg9vUg==</notes></var><var ID="v35512566" name="V166133" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 13th</labl><sumStat type="mode">.</sumStat><sumStat type="max">15.0</sumStat><sumStat type="stdev">5.499261668759375</sumStat><sumStat type="mean">3.797892271662765</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4pn+oL5HIdIRsxtV7TddFQ==</notes></var><var ID="v35513134" name="V166134" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 14th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.747306791569086</sumStat><sumStat type="max">15.0</sumStat><sumStat type="stdev">5.446396382080486</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">163</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CS0XRjHLO9oukKxJz4cbwg==</notes></var><var ID="v35512718" name="V166135" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM:  radio programs R listens to regularly (RADPROGS) - 15th</labl><sumStat type="mode">.</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mean">3.8669789227166267</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.541564320676174</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Joe Madison (The Black Eagle)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Morning Edition (NPR)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. All Things Considered (NPR)</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Sean Hannity Show</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Bill Handel Show</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. The Hugh Hewitt Show</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. The Mike Gallagher Show</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rush Limbaugh</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. The Savage Nation (Michael Savage)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. The Thom Hartmann Program</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. The Glenn Beck Program</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. The Schnitt Show (Todd Schnitt)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1964</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. The Mark Levin Show</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Marketplace (NPR)</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fresh Air (NPR)</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QDxXUHEBHdYmbll6pXn26Q==</notes></var><var ID="v35513378" name="V166136" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 1st</labl><sumStat type="stdev">5.58020960404292</sumStat><sumStat type="mean">4.461826697892276</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">154</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pzfwgJ11KtOLRWek5SLGOw==</notes></var><var ID="v35514173" name="V166137" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 2nd</labl><sumStat type="stdev">5.508151668372316</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.459016393442636</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">162</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LKnnUbX/Md5KboF4C7Kbkw==</notes></var><var ID="v35513559" name="V166138" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 3rd</labl><sumStat type="max">15.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.4426229508196755</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">5.527406590568812</sumStat><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">178</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UesIm08oWMbFOuuLcZzoyA==</notes></var><var ID="v35513921" name="V166139" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 4th</labl><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">5.582339878732546</sumStat><sumStat type="mean">4.512880562060884</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">183</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xdbMVCInznBp33Ymax5b8g==</notes></var><var ID="v35514097" name="V166140" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 5th</labl><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">4.464637002341917</sumStat><sumStat type="stdev">5.588952732103311</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">149</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rNNv2kB0uo8Ewqq/Po9WVA==</notes></var><var ID="v35513785" name="V166141" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 6th</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">5.5922235842864785</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">4.516861826697893</sumStat><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">162</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Q2VErES+76X3yDcvsf+OXA==</notes></var><var ID="v35513247" name="V166142" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 7th</labl><sumStat type="max">15.0</sumStat><sumStat type="mean">4.393442622950815</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.542844396947281</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">156</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">164</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6075o7lIQbGrmjNxg86LOA==</notes></var><var ID="v35513333" name="V166143" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 8th</labl><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">5.547450807266463</sumStat><sumStat type="mean">4.467915690866514</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">158</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">154</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:exvb/QJEC88x7bOEJX7EqA==</notes></var><var ID="v35512781" name="V166144" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 9th</labl><sumStat type="mean">4.504683840749419</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">5.565668916700035</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">183</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GJJ9lyB8Xc8UT+u0PtgrMQ==</notes></var><var ID="v35513093" name="V166145" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 10th</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.559399504091665</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">4.46299765807962</sumStat><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gyfslmOO1E07ByGbBjmAfA==</notes></var><var ID="v35513102" name="V166146" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 11th</labl><sumStat type="medn">3.0</sumStat><sumStat type="stdev">5.613404604349743</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">4.574941451990628</sumStat><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">162</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">154</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NX7M0dH7GjaVX9xBd5UJvg==</notes></var><var ID="v35512539" name="V166147" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 12th</labl><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.510070257611248</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">5.566840111425007</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">173</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c5uoBdU0QpGRSCzQn58PIg==</notes></var><var ID="v35513699" name="V166148" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 13th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.628342489268401</sumStat><sumStat type="max">15.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">4.593208430913351</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">157</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">191</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jIGsdlrdvBm/34/xlNheRw==</notes></var><var ID="v35514397" name="V166149" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 14th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">4.38290398126464</sumStat><sumStat type="max">15.0</sumStat><sumStat type="stdev">5.496073940853013</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">155</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">153</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">163</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">155</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1ZxHUB35OcfbaBKAVl5sXA==</notes></var><var ID="v35513381" name="V166150" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: web sites R visits regularly (MEDSRC_WEBSITES) - 15th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">4.421779859484773</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.498469185227997</sumStat><catgry><catValu>4</catValu><labl level="category">4. Huffington Post (huffingtonpost.com)</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. NBC News (nbcnews.com)</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. BBC News (news.bbc.co.uk)</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">1645</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Business Insider (businessinsider.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. CNN.com</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. USA Today (usatoday.com)</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. ABC News (abcnews.com)</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Mail Online /Daily Mail (dailymail.co.uk)</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Mention New York Times (nytimes.com)</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. The Guardian (theguardian.com)</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Washington Post (washingtonpost.com)</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yahoo News (yahoo.com/news)</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. CBS News (cbsnews.com)</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Fox News (foxnews.com)</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Buzzfeed.com</labl><catStat type="freq">160</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eFrHy+sf85/98UUh6brXQQ==</notes></var><var ID="v35513516" name="V166151" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 1st</labl><sumStat type="min">-5.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">5.777697934348083</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.633957845433258</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">133</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">148</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">148</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">113</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">128</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">147</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CMN7rr9MeOsARx97FedJPA==</notes></var><var ID="v35513138" name="V166152" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 2nd</labl><sumStat type="mean">3.594613583138172</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.755933846611828</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">16.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">139</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">150</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">134</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">135</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">109</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">121</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">129</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:iRVtWA1Bgm8E014fn026bQ==</notes></var><var ID="v35512952" name="V166153" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 3rd</labl><sumStat type="mean">3.5622950819672146</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.7454582368116665</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">143</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">104</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">129</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">146</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">128</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">115</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">109</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">139</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">122</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">124</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4B5/YY+9B8Samuo8n4zT5A==</notes></var><var ID="v35513949" name="V166154" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 4th</labl><sumStat type="stdev">5.740850148451468</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.597423887587819</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">16.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">134</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">116</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">129</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">133</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">153</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">129</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">121</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1fTMWeNOiIjktkr1/p2ImA==</notes></var><var ID="v35514299" name="V166155" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 5th</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.738503757975133</sumStat><sumStat type="max">16.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.583138173302096</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">149</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">118</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">110</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">104</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">154</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3wvrfZgB8XLmVlzvTgHSaQ==</notes></var><var ID="v35513576" name="V166156" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 6th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.748477785801171</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">16.0</sumStat><sumStat type="mean">3.587119437939102</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">117</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">155</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">133</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">112</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">121</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">132</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OkLdTaKl/NEqzFrZrwtHtw==</notes></var><var ID="v35512906" name="V166157" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 7th</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.6051522248243613</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.741611389424399</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">16.0</sumStat><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">135</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">121</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">129</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">117</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">114</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">150</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">137</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ROE78iyrxlndE+i/4zMw8w==</notes></var><var ID="v35513052" name="V166158" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 8th</labl><sumStat type="mean">3.579859484777515</sumStat><sumStat type="max">16.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.729522039044788</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">135</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">157</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">105</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">116</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">143</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">128</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BdXgPP8V54Zjmpu7kln6EQ==</notes></var><var ID="v35513223" name="V166159" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 9th</labl><sumStat type="max">16.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.6302107728337263</sumStat><sumStat type="stdev">5.810248189774253</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">142</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">115</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">146</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">147</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">114</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">128</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">135</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">112</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">147</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">115</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">123</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3fVs9d9NsPLBiC95QLWBCQ==</notes></var><var ID="v35512684" name="V166160" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 10th</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.5430913348946165</sumStat><sumStat type="stdev">5.7096444812048075</sumStat><sumStat type="max">16.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">129</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">143</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">104</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">144</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">134</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">117</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">115</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">126</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qb94/XeeLgBOyFzwv+hc4w==</notes></var><var ID="v35513874" name="V166161" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 11th</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="stdev">5.775658959081889</sumStat><sumStat type="mean">3.6461358313817356</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">132</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">152</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">146</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">128</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">123</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">163</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">106</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">114</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">134</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">131</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">118</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sS7bwP6od0nZ8Yq2yey++Q==</notes></var><var ID="v35514235" name="V166162" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 12th</labl><sumStat type="mean">3.5999999999999877</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="stdev">5.742315385977769</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">119</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">106</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">152</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">147</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">149</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">142</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">136</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">144</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">130</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">116</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">121</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">119</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qxucTdj/e0nY88fJtvrYuQ==</notes></var><var ID="v35513175" name="V166163" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 13th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">5.765117754849378</sumStat><sumStat type="mean">3.597423887587827</sumStat><sumStat type="max">16.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">155</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">127</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">107</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">113</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">108</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">127</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">135</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">141</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S8thfpuyFqhq+LDmtfrKsg==</notes></var><var ID="v35513743" name="V166164" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 14th</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">3.6672131147541056</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="stdev">5.812566048278787</sumStat><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">117</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">129</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">140</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">107</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">137</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">142</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">151</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">138</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">147</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">130</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a2wS5RzQQh+fEdOVqgvo6A==</notes></var><var ID="v35513021" name="V166165" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 15th</labl><sumStat type="stdev">5.793387655363494</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.636533957845441</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">139</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">141</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">139</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">128</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">115</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">124</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">118</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">142</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">111</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c7YBMGztQ4LfpqmB+ucnqQ==</notes></var><var ID="v35512925" name="V166166" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: print/online newspapers R reads regularly - 16th</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">5.778145521604613</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">16.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.626697892271681</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Restricted #1 </labl><catStat type="freq">123</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Restricted #11 </labl><catStat type="freq">133</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. The New York Times</labl><catStat type="freq">141</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Restricted #4 </labl><catStat type="freq">125</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Restricted #8 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Restricted #9 </labl><catStat type="freq">128</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Interview breakoff (sufficient partial IW)</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Restricted #12 </labl><catStat type="freq">125</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. USA Today</labl><catStat type="freq">127</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Restricted #10 </labl><catStat type="freq">138</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Restricted #2 </labl><catStat type="freq">122</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Restricted #5 </labl><catStat type="freq">126</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. The Washington Post</labl><catStat type="freq">125</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Restricted #6 </labl><catStat type="freq">146</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2176</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Restricted #7 </labl><catStat type="freq">120</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Restricted #3 </labl><catStat type="freq">145</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The Wall Street News</labl><catStat type="freq">113</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CxH+Z6EWCNGIfeNGVMUNwQ==</notes></var><var ID="v35513728" name="V166167" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post Presidential candidates thermometers (THERMPO)</labl><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.38875878220140503</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.737978063244</sumStat><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">1830</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">1818</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CVN6XMoQAZbREii7ExtA9w==</notes></var><var ID="v35513402" name="V166168" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 1st</labl><sumStat type="mean">5.9210772833723615</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">6.392751866118422</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">234</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">232</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">262</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">216</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JQ/+5cvj5Jhwlqj2xqU5eQ==</notes></var><var ID="v35514177" name="V166169" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 2nd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">6.015222482435613</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">6.419255601548598</sumStat><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">233</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">254</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">238</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xOH4KZV+MYgZi6uMRNSfdQ==</notes></var><var ID="v35513701" name="V166170" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 3rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">5.89836065573769</sumStat><sumStat type="stdev">6.435799101772534</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">281</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">263</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">254</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">240</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2iK8MNxOkDA6PFQ7X7qqag==</notes></var><var ID="v35512896" name="V166171" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 4th</labl><sumStat type="medn">7.0</sumStat><sumStat type="stdev">6.381778525952712</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.933255269320836</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">257</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">259</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">256</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MIlVYkYBNARJAKz9ovJJgA==</notes></var><var ID="v35512594" name="V166172" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 5th</labl><sumStat type="mean">5.8529274004683804</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="stdev">6.351676136402355</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">219</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">233</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">268</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">266</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vt7JAvbvrU4F26GnEHULLg==</notes></var><var ID="v35513509" name="V166173" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 6th</labl><sumStat type="stdev">6.396936606109035</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.977751756440278</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">265</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">233</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">269</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">269</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YjgZtLd79+l1UOYV100jhA==</notes></var><var ID="v35513676" name="V166174" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 7th</labl><sumStat type="mean">5.905152224824346</sumStat><sumStat type="stdev">6.383221055626111</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">270</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">245</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">243</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CDmcZEsdQELAsqbOD8Yl9g==</notes></var><var ID="v35514359" name="V166175" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 8th</labl><sumStat type="mean">5.876112412177987</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">6.396544354793415</sumStat><sumStat type="max">15.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">227</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">257</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">219</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">268</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">263</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">235</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CGlsALuIyqGk/pzaAvzKIg==</notes></var><var ID="v35512741" name="V166176" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 9th</labl><sumStat type="stdev">6.378785657315797</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mean">5.893911007025777</sumStat><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">248</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">235</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">274</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JQqChXwLDJceHNvfaFwMAA==</notes></var><var ID="v35513122" name="V166177" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 10th</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="stdev">6.361394277232434</sumStat><sumStat type="max">15.0</sumStat><sumStat type="mean">5.9737704918032675</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">276</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">234</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">264</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">254</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">255</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">246</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Xz1BGjlWNxYT5VtUjk4baw==</notes></var><var ID="v35513958" name="V166178" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 11th</labl><sumStat type="stdev">6.352826673856791</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="mean">5.947072599531616</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">246</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">243</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">238</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">254</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">261</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">222</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">257</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">256</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:daDPCj9Q1pxPSohof4yY9Q==</notes></var><var ID="v35512645" name="V166179" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 12th</labl><sumStat type="min">-7.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">6.419709461905393</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">6.022248243559722</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">15.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">231</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">251</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">287</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">237</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">249</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">235</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">259</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9Te1rhza1N9o6tS5QCvD+g==</notes></var><var ID="v35512987" name="V166180" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 13th</labl><sumStat type="max">15.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">5.995316159250581</sumStat><sumStat type="stdev">6.425016738116289</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">246</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">232</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">271</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">220</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">271</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">260</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">249</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ncO79CPhRa0ps1neqV8k2w==</notes></var><var ID="v35514354" name="V166181" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 14th</labl><sumStat type="medn">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">6.391753578324926</sumStat><sumStat type="mean">5.969086651053848</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">235</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">268</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">234</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">246</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">258</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bhwpIjWfri//IlpEmiWw4Q==</notes></var><var ID="v35513403" name="V166182" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post political figure thermometers (THERMPO) - 15th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">5.926463700234191</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">6.380620944387118</sumStat><sumStat type="max">15.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Democratic Senate Candidate</labl><catStat type="freq">229</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Democratic House Candidate</labl><catStat type="freq">253</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Mike Pence</labl><catStat type="freq">250</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Non-running Senator</labl><catStat type="freq">263</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Ind/3rd Party Senate Candidate</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Republican Senate Candidate</labl><catStat type="freq">256</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Tim Kaine</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Ind/3rd Party House Candidate</labl><catStat type="freq">240</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. John Roberts</labl><catStat type="freq">230</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Senior Senator (no race)</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Jill Stein</labl><catStat type="freq">252</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Pope Francis</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Junior Senator (no race)</labl><catStat type="freq">239</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Republican House Candidate</labl><catStat type="freq">236</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gary Johnson</labl><catStat type="freq">238</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6NBKi1gD5OEs1yKtcOKi0w==</notes></var><var ID="v35512937" name="V166183" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 1st</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">7.572833723653402</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">7.573746877802267</sumStat><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">218</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:L5msjQKmS4nL9KTi4qGpSA==</notes></var><var ID="v35513963" name="V166184" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 2nd</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">7.641430768953335</sumStat><sumStat type="mean">7.678688524590179</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ceBb19xbGwCUqObsIkgPLw==</notes></var><var ID="v35514323" name="V166185" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 3rd</labl><sumStat type="mean">7.707728337236536</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.616284365084883</sumStat><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">182</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZLbeQttDFsEBpBb4tRFxpQ==</notes></var><var ID="v35513501" name="V166186" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 4th</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">7.621298775620332</sumStat><sumStat type="medn">9.0</sumStat><sumStat type="mean">7.714285714285719</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">234</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">208</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">187</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:isapLujUny7dhgyuyfFSaw==</notes></var><var ID="v35513822" name="V166187" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 5th</labl><sumStat type="medn">8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="stdev">7.626093984681137</sumStat><sumStat type="mean">7.596721311475404</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">228</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">202</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yEGjbJ3pBwhoIfazMWc1hw==</notes></var><var ID="v35514124" name="V166188" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 6th</labl><sumStat type="mean">7.406791569086658</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">7.541753892761717</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">19.0</sumStat><sumStat type="medn">8.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">223</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">164</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1bfBSpxQ/iwVStbFZMUPVw==</notes></var><var ID="v35513297" name="V166189" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 7th</labl><sumStat type="mode">.</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="stdev">7.638239658087486</sumStat><sumStat type="mean">7.680093676814997</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">19.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ikXA3107hQbTDWlrqdif2A==</notes></var><var ID="v35513380" name="V166190" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 8th</labl><sumStat type="min">-7.0</sumStat><sumStat type="mean">7.725761124121787</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.612386902836765</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="medn">9.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">221</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">218</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">172</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lRLenmkKT0ipfzvMrZLXCA==</notes></var><var ID="v35512754" name="V166191" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 9th</labl><sumStat type="min">-7.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.64326053660039</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">7.69414519906323</sumStat><sumStat type="medn">8.5</sumStat><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">202</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xKTZCoYTJ7jTd5tkOZGKwQ==</notes></var><var ID="v35514125" name="V166192" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 10th</labl><sumStat type="mean">7.699999999999991</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.6341857296315565</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">224</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">195</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DzNb0siO8FkFqom3/rIzkQ==</notes></var><var ID="v35513556" name="V166193" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 11th</labl><sumStat type="min">-7.0</sumStat><sumStat type="medn">9.0</sumStat><sumStat type="mean">7.775175644028112</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.657155974925031</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">205</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">184</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mpyzJRRGTr/E6qQg0cJJVg==</notes></var><var ID="v35513578" name="V166194" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 12th</labl><sumStat type="medn">8.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.649285188631206</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">7.6742388758782045</sumStat><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">174</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gLbiwiIIL/dG34yl4pOM9g==</notes></var><var ID="v35513116" name="V166195" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 13th</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">19.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="mean">7.711943793910998</sumStat><sumStat type="stdev">7.638035453306549</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">216</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">196</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DnGvKdfr2B61xZ3yh1m58Q==</notes></var><var ID="v35513103" name="V166196" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 14th</labl><sumStat type="medn">9.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">7.685948477751762</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">19.0</sumStat><sumStat type="stdev">7.607184545756857</sumStat><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">242</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">209</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l9e0vTm+5vjMsReklFPdpw==</notes></var><var ID="v35513912" name="V166197" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 15th</labl><sumStat type="mean">7.616393442622943</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">7.626617657804876</sumStat><sumStat type="max">19.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">216</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">219</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">204</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">202</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FBNF/7w7JLb7Aiu/BB4bWQ==</notes></var><var ID="v35512863" name="V166198" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 16th</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.638309184288824</sumStat><sumStat type="mean">7.6124121779859575</sumStat><sumStat type="max">19.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">203</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">177</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">161</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">206</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">201</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:q49EhxdfX35Y3YOggsqUWA==</notes></var><var ID="v35512557" name="V166199" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 17th</labl><sumStat type="mean">7.617798594847785</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">7.616884120647778</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">19.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">208</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">179</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">214</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">213</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">164</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">197</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">215</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tjDkUlcnu4+jMQE/Duq2KQ==</notes></var><var ID="v35513198" name="V166200" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 18th</labl><sumStat type="mean">7.574004683840756</sumStat><sumStat type="max">19.0</sumStat><sumStat type="stdev">7.601612965772556</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">8.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">208</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">192</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">198</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">207</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">178</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">184</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">187</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">199</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Dg88u+i0ej7prhcEu3vWVQ==</notes></var><var ID="v35513275" name="V166201" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post group  thermometers (THERMGR) - 19th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="mean">7.589461358313827</sumStat><sumStat type="stdev">7.597717071545635</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">19.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Big business</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Christians</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Liberals</labl><catStat type="freq">195</catStat></catgry><catgry><catValu>18</catValu><labl level="category">18. Scientists</labl><catStat type="freq">194</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Gay men and lesbians</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>15</catValu><labl level="category">15. Tea Party</labl><catStat type="freq">180</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. Rich people</labl><catStat type="freq">210</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Black Lives Matter</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Conservatives</labl><catStat type="freq">182</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Christian fundamentalists</labl><catStat type="freq">209</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Labor unions</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Poor people</labl><catStat type="freq">200</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Muslims</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>17</catValu><labl level="category">17. Transgender people</labl><catStat type="freq">202</catStat></catgry><catgry><catValu>16</catValu><labl level="category">16. Police</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Jews</labl><catStat type="freq">199</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. U.S. Supreme Court</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Congress</labl><catStat type="freq">201</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Feminists</labl><catStat type="freq">180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wksqUqn/VS/GYn2DdccBnw==</notes></var><var ID="v35513345" name="V166202" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of party to deal w/most important problem (MIP)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.38829039812646854</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.737787872744312</sumStat><catgry><catValu>1</catValu><labl level="category">1. Dem/Rep</labl><catStat type="freq">1820</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Rep/Dem</labl><catStat type="freq">1828</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:90Efxcf3YnmZvNsru0visA==</notes></var><var ID="v35512805" name="V166203" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of HLTHLAW_AMCOST and HLTHLAW_RCOST</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.737882979664172</sumStat><sumStat type="mean">0.3885245901639381</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. AMCOST/RCOST</labl><catStat type="freq">1819</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. RCOST/AMCOST</labl><catStat type="freq">1829</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xT0Xk/gnVhyYBLRoPilUyg==</notes></var><var ID="v35512785" name="V166204" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Revised or standard version of IMPORTLIM</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.394551096521068</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.45784543325526667</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>0</catValu><labl level="category">0. Revised/Standard</labl><catStat type="freq">1785</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Standard/Revised</labl><catStat type="freq">1863</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xBc3GY0YlVEaBGaPUM/hKg==</notes></var><var ID="v35513524" name="V166205" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Israel-Palestinian support questions (ISRSUPP)</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.739969431208237</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.393676814988295</sumStat><sumStat type="medn">1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. PAL/ISR</labl><catStat type="freq">1851</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. ISR/PAL</labl><catStat type="freq">1797</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kaUVZHbU+De5imkXPdOitA==</notes></var><var ID="v35513591" name="V166206" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates for liberal/conservative scale (LIBCPO)</labl><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.740347574376948</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.3946135831381773</sumStat><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">1793</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">1855</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Jq6XfPiUytrIsQ4LcHO9CA==</notes></var><var ID="v35513970" name="V166207" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of Presidential candidates for abortion scale (APORTPO)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.38290398126464004</sumStat><sumStat type="stdev">2.7355939661744917</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Trump/Clinton</labl><catStat type="freq">1805</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Clinton/Trump</labl><catStat type="freq">1843</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p48+ldYgNrzzsgMn2UDy8Q==</notes></var><var ID="v35512732" name="V166208" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post CASI group thermometers (THCASI) - 1st</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">3.5265889378878126</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.6192037470726002</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. Illegal immigrants</labl><catStat type="freq">754</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Whites</labl><catStat type="freq">722</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">732</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Blacks</labl><catStat type="freq">694</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Asians</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rSLHFGHCtk1dm8yt6CtGyg==</notes></var><var ID="v35514186" name="V166209" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post CASI group thermometers (THCASI) - 2nd</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">3.5386499404374416</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6459016393442596</sumStat><catgry><catValu>4</catValu><labl level="category">4. Illegal immigrants</labl><catStat type="freq">736</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Whites</labl><catStat type="freq">757</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">678</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Blacks</labl><catStat type="freq">735</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Asians</labl><catStat type="freq">711</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2OtkPUf2ftm9WLv9iaPm7A==</notes></var><var ID="v35514069" name="V166210" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post CASI group thermometers (THCASI) - 3rd</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.6016393442622971</sumStat><sumStat type="stdev">3.523351426740689</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Whites</labl><catStat type="freq">747</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">713</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Blacks</labl><catStat type="freq">745</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Asians</labl><catStat type="freq">744</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Illegal immigrants</labl><catStat type="freq">668</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:orfxbtunMFXW7qy8pik3PQ==</notes></var><var ID="v35514304" name="V166211" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post CASI group thermometers (THCASI) - 4th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">3.5088565051514315</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.5908665105386406</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Blacks</labl><catStat type="freq">751</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">769</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Asians</labl><catStat type="freq">701</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Whites</labl><catStat type="freq">690</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Illegal immigrants</labl><catStat type="freq">706</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Poy/xTf8pZ8xKdtDb8PfMg==</notes></var><var ID="v35513401" name="V166212" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of post CASI group thermometers (THCASI) - 5th</labl><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">3.518579673054705</sumStat><sumStat type="mean">1.59625292740047</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-5</catValu><labl level="category">-5. Breakoff, sufficient partial IW</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">725</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Asians</labl><catStat type="freq">746</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Illegal immigrants</labl><catStat type="freq">753</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Blacks</labl><catStat type="freq">692</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Whites</labl><catStat type="freq">701</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IfpGfPE0b2nkQxjz22fOWw==</notes></var><var ID="v35512681" name="V166213" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_HWK) - 1st</labl><sumStat type="max">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.8243559718969529</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.9753522885964796</sumStat><sumStat type="medn">2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">1191</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">1224</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asians</labl><catStat type="freq">1233</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:M7mLMldxPDB8uj+w08EPzA==</notes></var><var ID="v35513979" name="V166214" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_HWK) - 2nd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.7864168618267003</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">2.9588895634307666</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asians</labl><catStat type="freq">1137</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">1257</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">1254</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GFn+IJSFR+AfTIaDTXV3eA==</notes></var><var ID="v35513709" name="V166215" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_HWK) - 3rd</labl><sumStat type="medn">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.8327868852458998</sumStat><sumStat type="stdev">2.9807931203217284</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">1200</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">1170</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asians</labl><catStat type="freq">1278</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PWdyQHgWoQ7L+zdzTDbY/Q==</notes></var><var ID="v35513998" name="V166216" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_VIOL) - 1st</labl><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">1.6407494145199015</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.4744629256420927</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">778</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Muslims</labl><catStat type="freq">712</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Christians</labl><catStat type="freq">718</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanic-Americans</labl><catStat type="freq">712</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">728</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qPwQjtb96eGVvkWHirB3Rw==</notes></var><var ID="v35514223" name="V166217" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_VIOL) - 2nd</labl><sumStat type="max">5.0</sumStat><sumStat type="mean">1.699531615925055</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="stdev">3.497732058541019</sumStat><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">727</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanic-Americans</labl><catStat type="freq">697</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Christians</labl><catStat type="freq">779</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">725</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Muslims</labl><catStat type="freq">720</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Px2mq0Dqg7EbBds1SfD2/Q==</notes></var><var ID="v35514152" name="V166218" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_VIOL) - 3rd</labl><sumStat type="stdev">3.4815733911241</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mean">1.6571428571428668</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">733</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Christians</labl><catStat type="freq">735</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Muslims</labl><catStat type="freq">715</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanic-Americans</labl><catStat type="freq">695</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">770</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0DwuQ5BceSdPP5TVuYEMlg==</notes></var><var ID="v35513825" name="V166219" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_VIOL) - 4th</labl><sumStat type="min">-7.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">1.6737704918032765</sumStat><sumStat type="stdev">3.4764732243895407</sumStat><catgry><catValu>2</catValu><labl level="category">2. Hispanic-Americans</labl><catStat type="freq">773</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Christians</labl><catStat type="freq">709</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">738</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">684</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Muslims</labl><catStat type="freq">744</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9W6vxw7F0Hn5oPJ5Asxm1g==</notes></var><var ID="v35513362" name="V166220" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups after Whites (STYPEPO_VIOL) - 5th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.6730679156908665</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">3.477249379764922</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Christians</labl><catStat type="freq">707</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">691</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Muslims</labl><catStat type="freq">757</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanic-Americans</labl><catStat type="freq">771</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">722</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UgPSMvxGV8jDSdSXC92n7g==</notes></var><var ID="v35514287" name="V166221" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of stereotype groups  (STYPEPO_PATRIOT)</labl><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">2.7394962282804265</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.3925058548009343</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Christians/Muslims</labl><catStat type="freq">1846</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Muslims/Christians</labl><catStat type="freq">1802</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ClwNh6k/pVsWjWYDXldazw==</notes></var><var ID="v35514188" name="V166222" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 1st</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.921002691212046</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="mean">3.8360655737704867</sumStat><sumStat type="max">10.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">339</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">376</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">402</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">342</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">367</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">350</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">379</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">339</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">370</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PMkuuujerfVB8f6cq6QA4A==</notes></var><var ID="v35514386" name="V166223" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 2nd</labl><sumStat type="min">-7.0</sumStat><sumStat type="stdev">4.8753770488273735</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.8196721311475486</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">364</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">370</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">363</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">362</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">390</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">336</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">367</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">402</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7XSYx5H2OiM5BiWmH5SvDg==</notes></var><var ID="v35513331" name="V166224" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 3rd</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">4.878946765284481</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">3.745667447306788</sumStat><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">381</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">375</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">397</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">353</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">324</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">388</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2M8yyno35OldJBJ4jg2CFg==</notes></var><var ID="v35514189" name="V166225" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 4th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">4.892294513024077</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">3.781733021077293</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">378</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">389</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">371</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">337</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">342</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">380</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">382</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">356</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QkV8chS4ADQFiOALlpiTWQ==</notes></var><var ID="v35512873" name="V166226" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 5th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">3.834894613583132</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="stdev">4.905205898403633</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">396</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">354</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">402</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">342</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">390</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">338</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">357</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rWKPH40UF1ihHVjuZgANEA==</notes></var><var ID="v35513396" name="V166227" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 6th</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">4.9110395589242355</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">3.818969555035129</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">380</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">365</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">367</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">334</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">380</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I4aqIPJ7y74VT0NpxLHL4g==</notes></var><var ID="v35514118" name="V166228" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 7th</labl><sumStat type="medn">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.87255535430349</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.810538641686168</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">348</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">364</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">380</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">354</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">358</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">398</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">385</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">327</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:RfRFiJOmqIlxGEsiFWDarg==</notes></var><var ID="v35513471" name="V166229" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 8th</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">4.8662078011225445</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">3.7718969555035176</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="min">-7.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">353</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">383</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">365</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">386</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">337</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZSwN5YAEPguAEDtKJpjHaA==</notes></var><var ID="v35513616" name="V166230" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 9th</labl><sumStat type="stdev">4.886607792544186</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">3.7976580796252843</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">347</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">384</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">367</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">364</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">361</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">353</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">380</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">364</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CSNvAQ3xXnpx3jgUsJReVg==</notes></var><var ID="v35513957" name="V166231" intrvl="contin"><location fileid="f10788397"/><labl level="variable">RANDOM: Order of discrimination social groups (DISCRIM) - 10th</labl><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">4.9055072697274635</sumStat><sumStat type="min">-7.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">3.829742388758779</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Whites</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Transgender people</labl><catStat type="freq">374</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Men</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Muslims</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Women</labl><catStat type="freq">345</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Gay and lesbians</labl><catStat type="freq">375</catStat></catgry><catgry><catValu>-7</catValu><labl level="category">-7. No post data, deleted due to incomplete IW</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Asian-Americans</labl><catStat type="freq">356</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Hispanics</labl><catStat type="freq">377</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Blacks</labl><catStat type="freq">355</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Christians</labl><catStat type="freq">381</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UZX8DF7/9+nr49NXYNltYA==</notes></var><var ID="v35513397" name="V167500" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Dwelling Unit (DU) completed</labl><sumStat type="mean">-0.4512880562061067</sumStat><sumStat type="stdev">0.890249084835227</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. No</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1163</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JgCuAj0/q8Za1mb1HMf7hg==</notes></var><var ID="v35514242" name="V167501" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU1. Number of campaign or political signs visible in the structure's </labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.6416861826697555</sumStat><sumStat type="stdev">11.652215859003663</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Unknown, cannot see any windows, outside gated community</labl><catStat type="freq">59</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:SdIYXa7ujajxexVeVfBXyw==</notes></var><var ID="v35512779" name="V167502" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: DU2. Describe sign(s)</labl><sumStat type="medn">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513622" name="V167503" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU3. Enter number of campaign or political signs visible outside of th</labl><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">11.154806280916263</sumStat><sumStat type="mean">0.5269320843091835</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>99</catValu><labl level="category">99. Unknown, cannot see any windows, outside gated community</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HlhsZCUigKt6AesFjCrTcg==</notes></var><var ID="v35513285" name="V167504" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: DU4. Describe sign(s)</labl><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513806" name="V167505" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU5. Do any of the signs support Hillary Clinton</labl><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.9915690866510535</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.15883188547158644</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4258</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">12</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:aKwKTXYDxVSlmJR0d4L2cQ==</notes></var><var ID="v35513900" name="V167506" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU6. Do any of the signs support Donald Trump</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.13924716557485226</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.9927400468384076</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4258</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5nYvQ6601R8+sVZBJYJ9Gg==</notes></var><var ID="v35513334" name="V167507" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (1st)</labl><sumStat type="stdev">3.0864639533572573</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="mean">0.8697892271662351</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">1124</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DPMs9REkBFx0lAc8gWNgtQ==</notes></var><var ID="v35514147" name="V167508" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (2nd)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.1426719568088138</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0049180327868847</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4232</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0/i7ru/+YZVBw5Y8Vlpjvg==</notes></var><var ID="v35513923" name="V167509" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (3rd)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.0939263861238383</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.0088992974238873</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4232</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">38</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HcogLYM1J9tYBOlOHwmZMw==</notes></var><var ID="v35513862" name="V167510" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (4th)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0088992974238873</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0939263861238383</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4232</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HcogLYM1J9tYBOlOHwmZMw==</notes></var><var ID="v35513837" name="V167511" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (5th)</labl><sumStat type="mean">-1.0088992974238873</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0939263861238383</sumStat><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4232</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HcogLYM1J9tYBOlOHwmZMw==</notes></var><var ID="v35513376" name="V167512" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU7. Religious items/symbols visible on/around the structure (6th)</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.0088992974238873</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.0939263861238383</sumStat><catgry><catValu>3</catValu><labl level="category">3. Star of David (six pointed) or mezuzah</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Statue, painting or mural of religious figures</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Religious message (e.g. 'Jesus saves')</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4232</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Crescent moon and star</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Cross or crucifix</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None of the above</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HcogLYM1J9tYBOlOHwmZMw==</notes></var><var ID="v35513182" name="V167513" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (1st)</labl><sumStat type="max">6.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">2.949422638058983</sumStat><sumStat type="mean">0.7316159250585232</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">977</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">24</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FUCfdLCocmu2w7Gg7PW9Eg==</notes></var><var ID="v35513042" name="V167514" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (2nd)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">0.36170038130675164</sumStat><sumStat type="mean">-1.0187353629976568</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4084</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JcrL6ju8e6zJjjMml868tA==</notes></var><var ID="v35513827" name="V167515" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (3rd)</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.2479565671371719</sumStat><sumStat type="mean">-1.0391100702576128</sumStat><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">183</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4084</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5HeMJ4wLdh5lWbzKDh4New==</notes></var><var ID="v35513584" name="V167516" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (4th)</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.04192037470726</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.2236310233502465</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">185</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4084</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5PsjWZPcp2O3icstiJ547g==</notes></var><var ID="v35512625" name="V167517" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (5th)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.0435597189695522</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.2041372800599034</sumStat><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4084</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fDqLEtv5/P1KPJBWXq8oMg==</notes></var><var ID="v35513845" name="V167518" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8A. What security signs are present? (6th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0435597189695522</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.2041372800599034</sumStat><catgry><catValu>1</catValu><labl level="category">1. Security system or crime watch sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other security sign</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">186</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No trespassing</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Beware of dog</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No solicitor</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4084</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fDqLEtv5/P1KPJBWXq8oMg==</notes></var><var ID="v35512735" name="V167519" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8B. What security people or animals are present? (1st)</labl><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.6149882903980414</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.6537977467279963</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Door person or guard at building entrance</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other door person or guard</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Threatening animal on or near property</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">1116</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Door person or guard at driveway entrance</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Hv3cCn/Nmyq26ZqpyGEZ+g==</notes></var><var ID="v35513166" name="V167520" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8B. What security people or animals are present? (2nd)</labl><sumStat type="mean">-1.0107728337236537</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.10324377024692938</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4224</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Door person or guard at building entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Threatening animal on or near property</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other door person or guard</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Door person or guard at driveway entrance</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W3Wt5+QnQNfWhfyfv+R7rA==</notes></var><var ID="v35514370" name="V167521" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8B. What security people or animals are present? (3rd)</labl><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0107728337236537</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.10324377024692938</sumStat><catgry><catValu>1</catValu><labl level="category">1. Door person or guard at driveway entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4224</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other door person or guard</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Door person or guard at building entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Threatening animal on or near property</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W3Wt5+QnQNfWhfyfv+R7rA==</notes></var><var ID="v35514270" name="V167522" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8B. What security people or animals are present? (4th)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0107728337236537</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.10324377024692938</sumStat><catgry><catValu>1</catValu><labl level="category">1. Door person or guard at driveway entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Threatening animal on or near property</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4224</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Door person or guard at building entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other door person or guard</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W3Wt5+QnQNfWhfyfv+R7rA==</notes></var><var ID="v35513087" name="V167523" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8B. What security people or animals are present? (5th)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0107728337236537</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.10324377024692938</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4224</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Door person or guard at driveway entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Door person or guard at building entrance</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Threatening animal on or near property</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">46</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other door person or guard</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W3Wt5+QnQNfWhfyfv+R7rA==</notes></var><var ID="v35512649" name="V167524" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (1st)</labl><sumStat type="mean">0.7470725995315496</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">2.956181845735641</sumStat><sumStat type="max">6.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">972</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">32</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:MMQkI+NqrRvKRIVSGGayGQ==</notes></var><var ID="v35512813" name="V167525" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (2nd)</labl><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.390909691281466</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-1.0196721311475399</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4080</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qAR0PDufjlqPYUudocWL+w==</notes></var><var ID="v35513879" name="V167526" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (3rd)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">0.22554021084535153</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.0428571428571416</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4080</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fl7qunGsK+Hn8vhtQEfwTw==</notes></var><var ID="v35514012" name="V167527" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (4th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.20621956532610666</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.044496487119441</sumStat><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4080</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:09JUCvJbEnmLj06kV/tJyA==</notes></var><var ID="v35514033" name="V167528" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (5th)</labl><sumStat type="stdev">0.20621956532610666</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.044496487119441</sumStat><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4080</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">190</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:09JUCvJbEnmLj06kV/tJyA==</notes></var><var ID="v35513105" name="V167529" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU8C. What security technology is present? (6th)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.20621956532610666</sumStat><sumStat type="mean">-1.044496487119441</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Locked main entrance/gate w/intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Extra security door</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">190</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Locked main entrance/gate w/no intercom or buzzer</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Gate that is not locked</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Bars on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4080</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. None</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:09JUCvJbEnmLj06kV/tJyA==</notes></var><var ID="v35513100" name="V167530" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU9. What type of structure is this?</labl><sumStat type="stdev">1.6345424536686968</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.05386416861821627</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Detached single family home</labl><catStat type="freq">739</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Duplex</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other (specify)</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Apartment building, condo, or townhouse complex</labl><catStat type="freq">276</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Mobile home or trailer</labl><catStat type="freq">82</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Gooay5gn9TOa6S4ix/F8yA==</notes></var><var ID="v35512631" name="V167531" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: DU9_OS. Other {SPECIFY}</labl><sumStat type="mean">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512942" name="V167532" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU10. What is the size of the structure?</labl><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3545142530919152</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.6508196721311754</sumStat><sumStat type="max">6.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Structure with 1 dwelling unit</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Structure with 50 or more units</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Structure with 10 to 49 units</labl><catStat type="freq">77</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3981</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Structure with 3 or 4 dwelling units</labl><catStat type="freq">60</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Structure with 5 to 9 units</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Structure with 2 dwelling units</labl><catStat type="freq">16</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CmTC6FywPR85w1rgrAOnjQ==</notes></var><var ID="v35514057" name="V167533" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU11. Is this structure...</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.8594847775175752</sumStat><sumStat type="stdev">0.5261249070152294</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3981</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Entirely residential</labl><catStat type="freq">267</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Primarily commericial or other non-residential</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Primarily residential w/some commercial or other non-residential</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Mwhx2KJF2dxJ3203NuMwAg==</notes></var><var ID="v35512970" name="V167534" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU12. Is this block...</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.71707440136798</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">0.011007025761172073</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Rural town</labl><catStat type="freq">310</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Urban</labl><catStat type="freq">188</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Suburban</labl><catStat type="freq">563</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Rural farm or undeveloped land</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ah9gsGvDJNTX21idkS1+KQ==</notes></var><var ID="v35513253" name="V167535" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU13. Is this block...</labl><sumStat type="stdev">1.0481927929107875</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.40187353629979905</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Residential only</labl><catStat type="freq">1021</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. With commercial properties, mostly wholesale or industrial</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. With commercial properties, mostly retail</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Other (specify)</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:cjfWBzk+tKiQT66CgUi8hQ==</notes></var><var ID="v35514264" name="V167536" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: DU13_OS. Other {SPECIFY}</labl><sumStat type="mean">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35513956" name="V167537" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (1st)</labl><sumStat type="max">12.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.0974238875877815</sumStat><sumStat type="stdev">5.15583965193488</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">982</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">50</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">3</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BdA4JdecXOVuKQHugJ6Gvw==</notes></var><var ID="v35513317" name="V167538" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (2nd)</labl><sumStat type="stdev">1.213881759169843</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">-0.8592505854801</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">94</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JboXE0BDK+8zVRCOPM8XHw==</notes></var><var ID="v35513518" name="V167539" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (3rd)</labl><sumStat type="stdev">0.8627697742996636</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-0.9559718969555036</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:k+fuy/CzUePsSsMEpbfoWw==</notes></var><var ID="v35513610" name="V167540" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (4th)</labl><sumStat type="stdev">0.6043066007094599</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0021077283372366</sumStat><sumStat type="max">10.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">159</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GUhPxzjiL2BUuG8f3efHRA==</notes></var><var ID="v35513951" name="V167541" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (5th)</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0199063231850114</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.46707172859790963</sumStat><sumStat type="max">10.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">167</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ChGL3DvJHzFmVZKM+JFG2Q==</notes></var><var ID="v35512821" name="V167542" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (6th)</labl><sumStat type="mean">-1.0208430913348936</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.47449470476170447</sumStat><sumStat type="max">10.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">168</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:spYulnYyIJDBSSupCa/Ryw==</notes></var><var ID="v35513513" name="V167543" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (7th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.030444964871195</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="stdev">0.3780218000008182</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">172</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:64SdXXleVl7TqJC7QvDvag==</notes></var><var ID="v35513067" name="V167544" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (8th)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.34575497768209723</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mean">-1.0330210772833748</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">173</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JlBoXMgUsXZlwaBMxNPseQ==</notes></var><var ID="v35512936" name="V167545" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (9th)</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0412177985948496</sumStat><sumStat type="stdev">0.19881687265310402</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gr3awyYXqVf8iDwAOXP1lw==</notes></var><var ID="v35513060" name="V167546" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (10th)</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0412177985948496</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.19881687265310402</sumStat><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">176</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gr3awyYXqVf8iDwAOXP1lw==</notes></var><var ID="v35513159" name="V167547" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (11th)</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.19881687265310402</sumStat><sumStat type="mean">-1.0412177985948496</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gr3awyYXqVf8iDwAOXP1lw==</notes></var><var ID="v35513662" name="V167548" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU14. Any of the following conditions of the building present? (12th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.19881687265310402</sumStat><sumStat type="mean">-1.0412177985948496</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Broken siding</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Peeling Paint</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Unknown, cannot see buildling</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Missing/broken out window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Boarded up window(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. None</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Door(s) off hinges</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Litter, trash or other debris</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4094</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Punched/torn out screens on windows</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Missing roofing material(s)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Missing bricks, siding, or other wall material</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Unkept landscaping (e.g. tall grass, overgrown bushes)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gr3awyYXqVf8iDwAOXP1lw==</notes></var><var ID="v35513130" name="V167549" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (1st)</labl><sumStat type="stdev">4.327952055044009</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">9.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">1.596955503512966</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">41</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">1025</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">17</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Oq+a9j4TvIyiKCLERq8TdQ==</notes></var><var ID="v35513448" name="V167550" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (2nd)</labl><sumStat type="mode">.</sumStat><sumStat type="max">8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.6258586039911102</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9700234192037487</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:izzDPDbbjRxJmLlfvn1djw==</notes></var><var ID="v35514216" name="V167551" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (3rd)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">8.0</sumStat><sumStat type="mean">-1.012177985948479</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.4041732246033284</sumStat><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K+HuQkn7O6FnciTfnrZvwg==</notes></var><var ID="v35512918" name="V167552" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (4th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.0264637002341943</sumStat><sumStat type="max">6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.24868339271738107</sumStat><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KKzVniZH0zGUu+hUE1IVIg==</notes></var><var ID="v35512966" name="V167553" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (5th)</labl><sumStat type="stdev">0.17562149726329587</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0318501170960201</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G/84v/4veHmWpSBs2lLoLA==</notes></var><var ID="v35512931" name="V167554" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (6th)</labl><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.0318501170960201</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.17562149726329587</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G/84v/4veHmWpSBs2lLoLA==</notes></var><var ID="v35514141" name="V167555" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (7th)</labl><sumStat type="min">-2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.17562149726329587</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0318501170960201</sumStat><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">136</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G/84v/4veHmWpSBs2lLoLA==</notes></var><var ID="v35513781" name="V167556" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (8th)</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-1.0318501170960201</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.17562149726329587</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G/84v/4veHmWpSBs2lLoLA==</notes></var><var ID="v35512972" name="V167557" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU15. Which are present within sight of housing unit? (9th)</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0318501170960201</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.17562149726329587</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. Loose garbage or litter not contained or bundled for collection</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Graffiti</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4134</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Abandoned cars</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Factories or warehouses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Boarded houses or abandonded buildings</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Trash, litter, or junk in street</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-2</catValu><labl level="category">-2. No further mentions</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Demolished houses</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. None of the above</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Stores or other retail outlets</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G/84v/4veHmWpSBs2lLoLA==</notes></var><var ID="v35513632" name="V167558" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: DU16. Relative to the other buildings on the road, is the physical con</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.693723872157286</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.01100702576117218</sumStat><catgry><catValu>2</catValu><labl level="category">2. Worse</labl><catStat type="freq">105</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3107</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. The same</labl><catStat type="freq">894</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Better</labl><catStat type="freq">133</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. No other buildings</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Unknown, outside gated community</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OCPntFrDEvgFdQa8/5OsLw==</notes></var><var ID="v35512817" name="V168000" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- IWR obs module completed (after Pre-election IW)</labl><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.9322671478458535</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.42950819672130064</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1104</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fTX/rctD81wODtyAPlc2Ig==</notes></var><var ID="v35513156" name="V168001" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR OBS- Skin tone category of respondent</labl><sumStat type="stdev">1.9438843548673503</sumStat><sumStat type="max">10.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.013583138173364378</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Skin tone 8 </labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Skin tone 4 </labl><catStat type="freq">83</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Skin tone 10 </labl><catStat type="freq">10</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Skin tone 6 </labl><catStat type="freq">32</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Skin tone 2 </labl><catStat type="freq">385</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Skin tone 5 </labl><catStat type="freq">58</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Skin tone 3 </labl><catStat type="freq">219</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Skin tone 1 </labl><catStat type="freq">250</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Skin tone 9 </labl><catStat type="freq">16</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Skin tone 7 </labl><catStat type="freq">19</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:c+tkB1q0V9rNab3IPHpXEw==</notes></var><var ID="v35513707" name="V168002" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- No. signs in window</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mean">0.18688524590166258</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">9.621056998994526</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>99</catValu><labl level="category">99. Unknown</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vhi3A7lSMfXOtMubhoJ2YA==</notes></var><var ID="v35512671" name="V168003" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: Pre IWR Obs- Describe signs in window</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.8757758653194411</sumStat><sumStat type="mean">-1.5170960187353393</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1104</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0jfkrWPEqfVlDoxNU7WRtw==</notes></var><var ID="v35513332" name="V168004" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- No. signs outside/in front</labl><sumStat type="min">-8.0</sumStat><sumStat type="stdev">9.501734378880856</sumStat><sumStat type="mean">0.1676814988290046</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">99.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>99</catValu><labl level="category">99. Unknown</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:odOq4wB4dhXl+MnXTzt0eA==</notes></var><var ID="v35513751" name="V168005" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: Pre IWR Obs- Describe signs in front</labl><sumStat type="stdev">0.8757758653194411</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.5170960187353393</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1104</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0jfkrWPEqfVlDoxNU7WRtw==</notes></var><var ID="v35513041" name="V168006" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Any sign for Dem Pres cand</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.2109381336208768</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9843091334894618</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4246</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R7UmvS2k0uq5NLmPgPGEVQ==</notes></var><var ID="v35513671" name="V168007" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Any sign for Rep Pres cand</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.9854800936768151</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.1966573357609401</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4246</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VCPpsshFCPIeTOd7Y7JQyQ==</notes></var><var ID="v35513895" name="V168008" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 1</labl><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512696" name="V168009" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 2</labl><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514116" name="V168010" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 3</labl><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513018" name="V168011" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 4</labl><sumStat type="mean">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512541" name="V168012" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 5</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512967" name="V168013" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 6</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513174" name="V168014" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Others present during IW 7</labl><sumStat type="medn">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513056" name="V168015" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R cooperation</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.4161592505854969</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="stdev">1.0355006791527845</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Poor</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Good</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Fair</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very good</labl><catStat type="freq">853</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very poor</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Ch4j8mdj2lD6IqiiACyKIg==</notes></var><var ID="v35513768" name="V168016" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R level of information</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5416067565884728</sumStat><sumStat type="mean">-0.15644028103046045</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">288</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">346</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">323</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0aCpyno5KA8497DhX9qKMA==</notes></var><var ID="v35513235" name="V168017" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R apparent intelligence</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.19414519906318786</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="stdev">1.444860166882973</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">319</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">372</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">371</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">37</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bWQ8bu14+5YwL5lcP/IJHQ==</notes></var><var ID="v35514266" name="V168018" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R suspicious</labl><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.0141961402729773</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-0.42435597189691815</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Not at all suspicious</labl><catStat type="freq">869</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Very suspicious</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Somewhat suspicious</labl><catStat type="freq">209</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hdSY80PSna9znnT1w6SEPA==</notes></var><var ID="v35512549" name="V168019" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R interest in IW</labl><sumStat type="mean">-0.25058548009368226</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.3544711394242939</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">244</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">385</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">433</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:y8WokShp0JZK6h5FMpN4DQ==</notes></var><var ID="v35512695" name="V168020" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R sincerity</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.959824852923923</sumStat><sumStat type="mean">-0.4501170960187729</sumStat><catgry><catValu>1</catValu><labl level="category">1. Completely sincere</labl><catStat type="freq">963</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Usually sincere</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Often seemed to be insincere</labl><catStat type="freq">9</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Nkxq52J8EzqM5Nw8w/DOIQ==</notes></var><var ID="v35512746" name="V168021" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Places where sincerity doubted</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.5072582079357886</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.907494145199068</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4130</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QKR9mtrTZJc5gW7JqJ6Nlw==</notes></var><var ID="v35512904" name="V168022" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: Pre IWR Obs- Where sincerity doubted</labl><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.5170960187353393</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="stdev">0.8757758653194411</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1104</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0jfkrWPEqfVlDoxNU7WRtw==</notes></var><var ID="v35513762" name="V168023" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Estimate family income</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mean">0.17142857142866338</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">7.0</sumStat><sumStat type="stdev">2.2353090986236785</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">$15,000 to $29,999 </labl><catStat type="freq">183</catStat></catgry><catgry><catValu>5</catValu><labl level="category">$75,000 to $99,999 </labl><catStat type="freq">152</catStat></catgry><catgry><catValu>4</catValu><labl level="category">$50,000 to $74,999 </labl><catStat type="freq">246</catStat></catgry><catgry><catValu>3</catValu><labl level="category">$30,000 to $49,999 </labl><catStat type="freq">247</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">13</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Under $15,000 </labl><catStat type="freq">87</catStat></catgry><catgry><catValu>6</catValu><labl level="category">$100,000 to 249,000 </labl><catStat type="freq">152</catStat></catgry><catgry><catValu>7</catValu><labl level="category">$250,000 or more</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:We72tDZzID1nWhD9T1yQZQ==</notes></var><var ID="v35513521" name="V168024" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Estimate R education level</labl><sumStat type="stdev">1.8315658023681634</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">0.03770491803272255</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-8.0</sumStat><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Low - probably less than high school diploma</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Probably a little college</labl><catStat type="freq">305</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Probably has a high school diploma but probably no college</labl><catStat type="freq">278</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Probably a college degree</labl><catStat type="freq">448</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kAFnlRaNRPj6ws3yhdW58g==</notes></var><var ID="v35513262" name="V168025" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: Pre IWR Obs- Specify other: R education level</labl><sumStat type="stdev">0.8757758653194411</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.5170960187353393</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1104</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0jfkrWPEqfVlDoxNU7WRtw==</notes></var><var ID="v35513850" name="V168026" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 1</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">2.116861826697998</sumStat><sumStat type="min">-8.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">14.0</sumStat><sumStat type="stdev">5.488220438900817</sumStat><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">737</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">193</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">46</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YAS15Fv0RPNCCrS95CdEIQ==</notes></var><var ID="v35513450" name="V168027" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 2</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.8579005509984554</sumStat><sumStat type="max">14.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.6847775175644154</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">35</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4131</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">22</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:HvlTWbuxOnaS1eTDmL4msw==</notes></var><var ID="v35514286" name="V168028" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 3</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">-0.903981264637002</sumStat><sumStat type="stdev">1.0169139189720984</sumStat><sumStat type="max">13.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4229</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rDgNMGVmWiSx4W5f5Ptpaw==</notes></var><var ID="v35513875" name="V168029" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 4</labl><sumStat type="mean">-0.9564402810304483</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">14.0</sumStat><sumStat type="stdev">0.7122884660113569</sumStat><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4253</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/yh0UOeqete9P6n2idacLg==</notes></var><var ID="v35513394" name="V168030" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 5</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.9964871194379393</sumStat><sumStat type="max">7.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.1626577881729299</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4268</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">1</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:wM71u9MQJvbr9rz8rPejUw==</notes></var><var ID="v35513127" name="V168031" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 6</labl><sumStat type="min">-1.0</sumStat><sumStat type="max">14.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.9943793911007025</sumStat><sumStat type="stdev">0.26767134998242914</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4268</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pAGmlJi8D3HUrJmXNnhjgA==</notes></var><var ID="v35514368" name="V168032" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 7</labl><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35512708" name="V168033" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 8</labl><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35514340" name="V168034" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 9</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513357" name="V168035" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 10</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513171" name="V168036" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 11</labl><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35514355" name="V168037" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 12</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513511" name="V168038" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 13</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35512783" name="V168039" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R reaction to IW 14</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.0</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. R had difficulty with selected language of interview (English or Spanish)</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:YwR+YZIlLb7VsSqFTa/JXg==</notes></var><var ID="v35513079" name="V168040" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Did IWR enter any CASI answers</labl><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="stdev">0.978580614267</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.45831381733018983</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Respondent entered all CASI answers</labl><catStat type="freq">957</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Interviewer entered at least 1 CASI answer</labl><catStat type="freq">143</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3166</catStat></catgry><catgry><catValu>-8</catValu><labl level="category">-8. Don't know</labl><catStat type="freq">2</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W0qa4EzUj8qckUZOWiY23g==</notes></var><var ID="v35514074" name="V168100" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- IWR obs module completed (after Post-election IW)</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="stdev">2.0292172150242425</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.1311475409835796</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1054</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2676</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+9Q1c/OCFf9FKUSe//1XWQ==</notes></var><var ID="v35513233" name="V168101" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Skin tone category of respondent</labl><sumStat type="max">10.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">2.673300832796621</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-0.7201405152225239</sumStat><catgry><catValu>3</catValu><labl level="category">3. Skin tone 3 </labl><catStat type="freq">188</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Skin tone 4 </labl><catStat type="freq">80</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. Skin tone 10 </labl><catStat type="freq">6</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. Skin tone 6 </labl><catStat type="freq">44</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Skin tone 2 </labl><catStat type="freq">429</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Skin tone 5 </labl><catStat type="freq">38</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. Skin tone 9 </labl><catStat type="freq">11</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. Skin tone 8 </labl><catStat type="freq">16</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. Skin tone 7 </labl><catStat type="freq">16</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Skin tone 1 </labl><catStat type="freq">226</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:S+MafW9I89BaaF+49sagiQ==</notes></var><var ID="v35513784" name="V168102" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 1</labl><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512569" name="V168103" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 2</labl><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512642" name="V168104" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 3</labl><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512629" name="V168105" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 4</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512608" name="V168106" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 5</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mean">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35512678" name="V168107" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 6</labl><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513941" name="V168108" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Others present during IW 7</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513703" name="V168109" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- R gender</labl><sumStat type="mean">-2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35513799" name="V168110" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Pre IWR Obs- Estimate R age</labl><sumStat type="mean">-2.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="max">-2.0</sumStat><sumStat type="medn">-2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-2</catValu><labl level="category">-2. Data will be available in forthcoming release</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:a5pquu2gJhgiqn6SmkJs7A==</notes></var><var ID="v35514256" name="V168111" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R cooperation</labl><sumStat type="mean">-1.069320843091304</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.114849561926712</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">5.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very poor</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very good</labl><catStat type="freq">828</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Fair</labl><catStat type="freq">38</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Poor</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Good</labl><catStat type="freq">183</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:0CrcDcEu8Ao00OgXyaK6oA==</notes></var><var ID="v35512794" name="V168112" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R level of information</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.555855821240611</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.7461358313817562</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="max">5.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">226</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">258</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">359</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">164</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VlXPuKFaYDgj36LVyxlprQ==</notes></var><var ID="v35513818" name="V168113" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R apparent intelligence</labl><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.8222482435597064</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">2.4327009329552083</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-6.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">360</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">411</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">234</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pyo9hFlyZsp1cjBwIb6UAw==</notes></var><var ID="v35513418" name="V168114" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R suspicious</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">-1.1128805620609141</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.0549713797365454</sumStat><catgry><catValu>2</catValu><labl level="category">2. Somewhat suspicious</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Very suspicious</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Not at all suspicious</labl><catStat type="freq">972</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KLf2Iq98o5iNTXBGJsl9Jw==</notes></var><var ID="v35513110" name="V168115" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R interest in IW</labl><sumStat type="max">5.0</sumStat><sumStat type="mean">-0.8946135831381591</sumStat><sumStat type="stdev">2.3505493500439703</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-6.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Very high</labl><catStat type="freq">410</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Fairly low</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Fairly high</labl><catStat type="freq">335</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. Very low</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Average</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tViF9k+sw+phpFuJrVqZOQ==</notes></var><var ID="v35513638" name="V168116" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R sincerity</labl><sumStat type="medn">-1.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mean">-1.099531615925052</sumStat><sumStat type="stdev">2.0727401743164737</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. Often seemed to be insincere</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Usually sincere</labl><catStat type="freq">115</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Completely sincere</labl><catStat type="freq">923</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gh5LSJRTiavTgDfp5W+9ZA==</notes></var><var ID="v35513666" name="V168117" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Places where sincerity doubted</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="stdev">1.7549179894648357</sumStat><sumStat type="mean">-1.5435597189695498</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3603</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:eNUvvRblKcVcWVhaJ3Fcqg==</notes></var><var ID="v35514361" name="V168118" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: RESTRICTED: POST IWR Obs- Where sincerity doubted</labl><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-2.121311475409856</sumStat><sumStat type="stdev">1.6937707552145511</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1054</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:61DWhE1TYAugeRxSpYsXpg==</notes></var><var ID="v35512782" name="V168119" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 1</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">13.0</sumStat><sumStat type="mean">1.3348946135832807</sumStat><sumStat type="stdev">5.957354118749136</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">212</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">25</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">667</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">5</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tJ/wEUlxjF2ppr+HsOxHkA==</notes></var><var ID="v35514000" name="V168120" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 2</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">12.0</sumStat><sumStat type="stdev">2.2711135345499667</sumStat><sumStat type="mean">-1.4159250585480005</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-6.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3632</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">4</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:tKOS8UM6Ox8/L/hHv+u7pg==</notes></var><var ID="v35514085" name="V168121" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 3</labl><sumStat type="mean">-1.5538641686182688</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">12.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.8948161484445916</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3697</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:i3iSWTQBefn+WcCb3s6uzw==</notes></var><var ID="v35513423" name="V168122" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 4</labl><sumStat type="stdev">1.7080128142202888</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">12.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.609836065573768</sumStat><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3724</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:t1iG4CyS3hMtSxC0jheTHg==</notes></var><var ID="v35513219" name="V168123" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 5</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6843334073004363</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">10.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.618969555035125</sumStat><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3730</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1jfLcd/QTEl1HQ7GGBd6sw==</notes></var><var ID="v35513486" name="V168124" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 6</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.6744393472020471</sumStat><sumStat type="mean">-1.6227166276346596</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">11.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3732</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">1</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lpf8iAQ/CkEW1thEjp/w8g==</notes></var><var ID="v35512950" name="V168125" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 7</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35512975" name="V168126" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 8</labl><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35513834" name="V168127" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 9</labl><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35513555" name="V168128" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 10</labl><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35513732" name="V168129" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 11</labl><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35513019" name="V168130" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 12</labl><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.627634660421545</sumStat><sumStat type="max">-1.0</sumStat><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35514250" name="V168131" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- R reaction to IW 13</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">1.6567712173773297</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.627634660421545</sumStat><catgry><catValu>8</catValu><labl level="category">8. R stressed/agitated by interview process</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6. R was ill/deaf/tired/had bad eyesight</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Negative - too complicated</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. R appeared to enjoy interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5. R wanted to stop before interview complete</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>11</catValu><labl level="category">11. R could not read respondent booklet</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3734</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Negative - general</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Neutral or no feedback</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Negative - too long</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7. R expressed lack of knowledge for interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>10</catValu><labl level="category">10. R concerned with sampling purpose or bias</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Negative - boring/tedious/repetitious</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9. R became angry at interview content</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:myzuK2RgrwvH6n0ZnRb/wQ==</notes></var><var ID="v35513833" name="V168132" intrvl="contin"><location fileid="f10788397"/><labl level="variable">FTF ONLY: Post IWR Obs- Did IWR enter any CASI responses</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">2.062967182973838</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-1.1058548009367368</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">1. Respondent entered all CASI answers</labl><catStat type="freq">934</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">536</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Interviewer entered at least 1 CASI answer</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">2680</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:v94vYz7riia0kqcUIVhFAA==</notes></var><var ID="v35512990" name="V168250" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: IWR agree to description module</labl><sumStat type="mean">-0.4473067915690506</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:IAgb/T863Bwrwx29ePTk+A==</notes></var><var ID="v35512580" name="V168251" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: pre-election survey IWR id</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BbbLcLeczJnK2G0wrNTHew==</notes></var><var ID="v35512848" name="V168252" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: skintone</labl><sumStat type="stdev">2.6816285737384473</sumStat><sumStat type="max">8.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.6939110070257462</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">266</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gADviZCCOeIbvcRpMSnHLA==</notes></var><var ID="v35513009" name="V168253" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: age</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.5526932084309493</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qGdOiUEX7SH5scvKRRrTIA==</notes></var><var ID="v35513222" name="V168254" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: age group</labl><sumStat type="stdev">1.8589559254816783</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">4.0</sumStat><sumStat type="mean">0.12669789227160705</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4. Age 65+</labl><catStat type="freq">314</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age 18-34 </labl><catStat type="freq">14</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age 35-50 </labl><catStat type="freq">195</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age 51-64 </labl><catStat type="freq">657</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:b5LB3kjdGGFLvih8ILwG4g==</notes></var><var ID="v35513711" name="V168255" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: education</labl><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.5526932084309493</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qGdOiUEX7SH5scvKRRrTIA==</notes></var><var ID="v35513499" name="V168256" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: education group</labl><sumStat type="stdev">1.922680470294819</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.5081967213115003</sumStat><sumStat type="max">3.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. College level</labl><catStat type="freq">746</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. High school level</labl><catStat type="freq">217</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">120</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">97</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:hUaixH3WK7MqqvKA/lB4Ew==</notes></var><var ID="v35512565" name="V168257" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: gender</labl><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.23606557377047663</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.256330505521939</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">902</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">278</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ABnKxnTPLMuEneT3FOSrGQ==</notes></var><var ID="v35514390" name="V168258" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: Spanish spoken</labl><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.2961387774793183</sumStat><sumStat type="mean">-0.20655737704916768</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">152</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1028</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ohTjT2WpHqnHY8Mjrkw+bQ==</notes></var><var ID="v35513824" name="V168259" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: experience with current firm</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.5526932084309493</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1180</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qGdOiUEX7SH5scvKRRrTIA==</notes></var><var ID="v35512673" name="V168260" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: experience with current firm (grouped)</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="stdev">1.2729543508067591</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.38758782201407205</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>3</catValu><labl level="category">3. 11 or more years</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1-5 years</labl><catStat type="freq">672</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Zero experience</labl><catStat type="freq">65</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 6-10 years</labl><catStat type="freq">326</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:FqU/UqcnyJRTdeGJdGeAbg==</notes></var><var ID="v35513337" name="V168261" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: Hispanic</labl><sumStat type="mode">.</sumStat><sumStat type="mean">-0.21053864168624653</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.2908788402343963</sumStat><sumStat type="max">2.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1011</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">169</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:PUZO5vJ9ZW68t/oiI95/ZA==</notes></var><var ID="v35514404" name="V168262" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: White</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.35995316159246915</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.0643119348843058</sumStat><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">373</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">807</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:EkKXxLpZ6HomUeCJLe4J/A==</notes></var><var ID="v35513678" name="V168263" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: Black</labl><sumStat type="stdev">1.3053396890204207</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.19953161592508295</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3f/Xp6LEjv/t4+Cced+GRw==</notes></var><var ID="v35514029" name="V168264" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: Native American</labl><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.5526932084309493</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qGdOiUEX7SH5scvKRRrTIA==</notes></var><var ID="v35512668" name="V168265" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: Asian</labl><sumStat type="stdev">0.8944853337002625</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-1.5526932084309493</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1180</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qGdOiUEX7SH5scvKRRrTIA==</notes></var><var ID="v35514296" name="V168266" intrvl="contin"><location fileid="f10788397"/><labl level="variable">PRE IWR DESCR: FTF ONLY: RESTRICTED: two or more racial groups</labl><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512624" name="V168300" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: IWR agree to description module</labl><sumStat type="mean">-0.6473067915690801</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.257523065596248</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">1058</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zQmVmcHC1reTMzyEaXVZ5Q==</notes></var><var ID="v35513757" name="V168301" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: post-election survey IWR id</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gBxw1Q6xCvQY2TY60jizwQ==</notes></var><var ID="v35514154" name="V168302" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: skintone</labl><sumStat type="max">7.0</sumStat><sumStat type="mean">-0.7948477751756474</sumStat><sumStat type="stdev">2.6095257079566223</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-9.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">211</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:nIeDDZ8+0JbHF4Z+QOvEgw==</notes></var><var ID="v35513642" name="V168303" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: age</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.6384074941451865</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="stdev">1.139353456625296</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1058</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+bxAa+skEEg6lUxEhsjR/A==</notes></var><var ID="v35512973" name="V168304" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: age group</labl><sumStat type="stdev">2.0314347336625853</sumStat><sumStat type="max">4.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-0.14355971896952865</sumStat><catgry><catValu>4</catValu><labl level="category">4. Age 65+</labl><catStat type="freq">247</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Age 18-34 </labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Age 35-50 </labl><catStat type="freq">180</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Age 51-64 </labl><catStat type="freq">615</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pE7ElEsedDvP3WZkiIlpCg==</notes></var><var ID="v35513575" name="V168305" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: education</labl><sumStat type="stdev">1.139353456625296</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="mean">-1.6384074941451865</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+bxAa+skEEg6lUxEhsjR/A==</notes></var><var ID="v35514387" name="V168306" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: education group</labl><sumStat type="mean">-0.695784543325516</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="stdev">2.034823564540371</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">3.0</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">106</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. College level</labl><catStat type="freq">689</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. High school level</labl><catStat type="freq">181</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">82</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UBKMv1/DJZatXl/M+mNFOQ==</notes></var><var ID="v35514049" name="V168307" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: gender</labl><sumStat type="mode">.</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mean">-0.45761124121778185</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.5363044458550554</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">810</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">248</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vZYvturP8j23TrOm7S2mTQ==</notes></var><var ID="v35513679" name="V168308" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: Spanish spoken</labl><sumStat type="stdev">1.568294169898602</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mean">-0.43208430913351015</sumStat><sumStat type="max">2.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">919</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qb9QGXZyIwy0XRSf3cXCeA==</notes></var><var ID="v35514003" name="V168309" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: experience with current firm</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.139353456625296</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.6384074941451865</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+bxAa+skEEg6lUxEhsjR/A==</notes></var><var ID="v35513904" name="V168310" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: experience with current firm (grouped)</labl><sumStat type="mean">-0.6072599531615781</sumStat><sumStat type="stdev">1.5537813042391206</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-9.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-9</catValu><labl level="category">-9. Refused</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. 11 or more years</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. 1-5 years</labl><catStat type="freq">627</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. 6-10 years</labl><catStat type="freq">259</catStat></catgry><catgry><catValu>0</catValu><labl level="category">0. Zero experience</labl><catStat type="freq">52</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TkCEgW2OVHAFCYqhSQ5x7A==</notes></var><var ID="v35513645" name="V168311" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: Hispanic</labl><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.5659826743405536</sumStat><sumStat type="mean">-0.4339578454332421</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">911</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">147</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:razeS1bHdFyHDC/OyFvoGQ==</notes></var><var ID="v35513413" name="V168312" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: White</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">1.3831799931191087</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.5686182669789138</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">336</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">722</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:LbIc2VGS/HkKxK74PuDL2w==</notes></var><var ID="v35514096" name="V168313" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: Black</labl><sumStat type="min">-6.0</sumStat><sumStat type="mean">-0.4236533957845092</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.578626494323096</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Yes</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. No</labl><catStat type="freq">955</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:mev4VEULNcCNx3hHFaXoQw==</notes></var><var ID="v35513944" name="V168314" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: Native American</labl><sumStat type="min">-6.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-1.6384074941451865</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">1.139353456625296</sumStat><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+bxAa+skEEg6lUxEhsjR/A==</notes></var><var ID="v35513004" name="V168315" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: Asian</labl><sumStat type="max">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="mean">-1.6384074941451865</sumStat><sumStat type="stdev">1.139353456625296</sumStat><sumStat type="min">-6.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-3</catValu><labl level="category">-3. Restricted access</labl><catStat type="freq">1058</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">3090</catStat></catgry><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">122</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+bxAa+skEEg6lUxEhsjR/A==</notes></var><var ID="v35512685" name="V168316" intrvl="contin"><location fileid="f10788397"/><labl level="variable">POST IWR DESCR: FTF ONLY: RESTRICTED: two or more racial groups</labl><sumStat type="invd">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">-3.0</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="medn">-3.0</sumStat><sumStat type="min">-3.0</sumStat><sumStat type="max">-3.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-6</catValu><labl level="category">-6. No post-election interview</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-3</catValu><labl level="category">-3. Restricted</labl><catStat type="freq">4270</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:VF93rLCfz+KtaZQc5ft9iQ==</notes></var><var ID="v35512997" name="V168500" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Type of Senate race</labl><sumStat type="medn">21.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">27.99211443609987</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">85.0</sumStat><sumStat type="mean">42.523653395784535</sumStat><catgry><catValu>62</catValu><labl level="category">62. REPUBLICAN CAND UNOPPOSED -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. DEMOCRATIC CAND UNOPPOSED -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. REPUBLICAN INCUMBENT- DEMOCRATIC AND OTHER CHALLENGERS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. DEMOCRATIC AND REPUBLICAN AND OTHER CANDS -Dem incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>85</catValu><labl level="category">85. NO RACE IN STATE: 1 DEMOCRATIC AND 1 REPUBLICAN SENATOR</labl><catStat type="freq">31</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. NO RACE IN STATE: 1 DEMOCRATIC AND 1 OTHER SENATOR</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. DEMOCRATIC AND REPUBLICAN CANDS -Dem incumbent not running</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. DEMOCRATIC AND REPUBLICAN CANDS -other incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. DEMOCRATIC INCUMBENT- UNOPPOSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Washington D.C. (11 in V163001a)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. NO RACE IN STATE: 2 DEMOCRATIC SENATORS</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. DEMOCRATIC CAND UNOPPOSED -Dem incumbent not running</labl><catStat type="freq">414</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. DEMOCRATIC AND REPUBLICAN CANDS -Repub incumbent not running</labl><catStat type="freq">189</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. DEMOCRATIC INCUMBENT- REPUBLICAN AND OTHER CHALLENGERS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. REPUBLICAN INCUMBENT- OTHER CHALLENGER</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>84</catValu><labl level="category">84. NO RACE IN STATE: 1 REPUBLICAN AND 1 OTHER SENATOR</labl><catStat type="freq">11</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. REPUBLICAN CAND UNOPPOSED -Dem incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. DEMOCRATIC INCUMBENT- OTHER CHALLENGER</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER</labl><catStat type="freq">1848</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. REPUBLICAN INCUMBENT- UNOPPOSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. DEMOCRATIC INCUMBENT- REPUBLICAN CHALLENGER</labl><catStat type="freq">491</catStat></catgry><catgry><catValu>69</catValu><labl level="category">69. DEMOCRATIC, REPUBLICAN AND OTHER CANDS -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. NO RACE IN STATE: 2 REPUBLICAN SENATORS</labl><catStat type="freq">570</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dd3c5AsZntKdj0uZG7vFFg==</notes></var><var ID="v35513468" name="V168501" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Senior Senator (state without Senate race)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jZnPCs43CJLZCIZqrx0D2w==</notes></var><var ID="v35514062" name="V168502" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Senior Senator (state without Senate race)</labl><sumStat type="mean">-0.3503512880562086</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.0658649269089215</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">368</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">835</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 12-75 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3067</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:G7Akvpaah6nMYh7cywbZOw==</notes></var><var ID="v35514319" name="V168503" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Party of Senior Senator (state without Senate race)</labl><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">1.1481394467100534</sumStat><sumStat type="mean">-0.3004683840749378</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 12-75 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3067</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrat</labl><catStat type="freq">622</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">581</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BxjjfrIpaxvKbFew8kAm3Q==</notes></var><var ID="v35513373" name="V168504" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Junior Senator (state without Senate race)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4FjhkbWnbZT66uQW+1XdxQ==</notes></var><var ID="v35512912" name="V168505" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Junior Senator (state without Senate race)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">-0.4318501170960185</sumStat><sumStat type="stdev">0.9098081398134086</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 12-75 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3067</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">1183</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l8tFg82I720e5f63kRy/0g==</notes></var><var ID="v35513851" name="V168506" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Party of Junior Senator (state without Senate race)</labl><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">-0.29063231850117355</sumStat><sumStat type="stdev">1.1656363913934928</sumStat><sumStat type="max">3.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 12-75 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3067</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrat</labl><catStat type="freq">591</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">601</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u7uAHUoPF2zf4CklgI2ICg==</notes></var><var ID="v35513948" name="V168507" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Other party name of Junior Senator (state without Senate race)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ia8Psgq4SAXN7Lt6286IIg==</notes></var><var ID="v35512694" name="V168508" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Democratic Senate candidate (state with Senate race)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NaoNkZXIh4fTX2gWlP8ezQ==</notes></var><var ID="v35513340" name="V168509" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Democratic Senate candidate (state with Senate race)</labl><sumStat type="min">-1.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.7231850117096009</sumStat><sumStat type="stdev">1.1732958948754664</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">1759</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">1280</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 23,24,52,62,81-85 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">1231</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yPNxWGntz2RFcoa+Li0Wjg==</notes></var><var ID="v35514108" name="V168510" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Republican Senate candidate (state with Senate race)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qY7pb5xq1IvYFQoOKrvhhw==</notes></var><var ID="v35512596" name="V168511" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Republican Senate candidate (state with Senate race)</labl><sumStat type="min">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">0.31990632318501366</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">1.0812622828319063</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">386</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">2239</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 13,14,51,61,81-85 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">1645</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:JDufMtbD7byzQnMTRDYuqw==</notes></var><var ID="v35512941" name="V168512" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Senator not running in state with Senate race</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:exX+IuH5frnNXNvHDsqt9A==</notes></var><var ID="v35513975" name="V168513" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Senator not running in state with Senate race</labl><sumStat type="stdev">1.1155880997511944</sumStat><sumStat type="max">2.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.6423887587821995</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">935</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 81-85 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">1231</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">2104</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:6K5QWut4QgpNrCU5YjIjhg==</notes></var><var ID="v35513611" name="V168514" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Party of Senator not running in state with Senate race</labl><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">3.0</sumStat><sumStat type="mean">0.6826697892271658</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="stdev">1.1472739098905633</sumStat><catgry><catValu>3</catValu><labl level="category">3. Other</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 81-85 in sen_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">1231</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Republican</labl><catStat type="freq">1089</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Democrat</labl><catStat type="freq">1941</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NJOxux9TQkQ/1qCQ9yKQyA==</notes></var><var ID="v35514388" name="V168515" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Other party name of Senator not running in state with Senate race</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:p0nRE6qMGF6m+d5af1p1Fg==</notes></var><var ID="v35513178" name="V168516" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Type of House race</labl><sumStat type="medn">55.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">59.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">44.2088992974239</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">17.22274709585911</sumStat><sumStat type="min">-4.0</sumStat><catgry><catValu>24</catValu><labl level="category">24. Republican incumbent running--unopposed</labl><catStat type="freq">70</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. No incumbent Repr. running--Democratic and Republican candidates</labl><catStat type="freq">2653</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. Democratic incumbent running--unopposed</labl><catStat type="freq">140</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. Republican incumbent--other challenger</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. No incumbent Repr. running--Democratic and Republican and other candidates</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>56</catValu><labl level="category">56. No incumbent Repr. running--Republican and other candidates</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. Democratic incumbent running--Republican challenger and others</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>32</catValu><labl level="category">32. Other incumbent running--Republican challenger</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>37</catValu><labl level="category">37. Other incumbent running--Democratic and other challengers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>53</catValu><labl level="category">53. No incumbent Repr. running--other candidate unopposed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>35</catValu><labl level="category">35. Other incumbent running--Democratic and Republican challengers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. Republican incumbent running--Democratic challenger and others</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. Republican incumbent running--Democratic challenger</labl><catStat type="freq">492</catStat></catgry><catgry><catValu>-4</catValu><labl level="category">-4. Missing: type of House race in district not ascertained during field period (LA 04)</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>31</catValu><labl level="category">31. Other incumbent running--Democratic challenger</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>57</catValu><labl level="category">57. No incumbent Repr. running--Democratic and other candidates</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. No incumbent Repr. running--Democratic candidate unopposed</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. No incumbent Repr. running--Republican candidate unopposed</labl><catStat type="freq">216</catStat></catgry><catgry><catValu>36</catValu><labl level="category">36. Other incumbent running--Republican and other challengers</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>34</catValu><labl level="category">34. Other incumbent running--unopposed</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. Democratic incumbent--other challenger</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. Democratic incumbent running--Republican challenger</labl><catStat type="freq">424</catStat></catgry><catgry><catValu>39</catValu><labl level="category">39. Other incumbent running -- Democratic, Republican, other challengers</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QVDemQrCPOo13IdEiGhQ3w==</notes></var><var ID="v35513649" name="V168517" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Democratic House candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Yki7XWht3sAELNLya8PV9w==</notes></var><var ID="v35513782" name="V168518" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Democratic House candidate</labl><sumStat type="stdev">0.7420609392444509</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">1.0908665105386428</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">2883</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -4,23,24,32,34,36,52,53,56 in hse_typerace</labl><catStat type="freq">333</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">1054</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:J/dTjcsjgKfYctNngsW4xw==</notes></var><var ID="v35513301" name="V168519" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Republican House candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jtcR1A1jWiq4fLi/bLtQEA==</notes></var><var ID="v35513994" name="V168520" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Republican House candidate</labl><sumStat type="min">-1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.9714285714285722</sumStat><sumStat type="stdev">0.6407191522226585</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -4,13,14,31,34,37,51,53,57 in hse_typerace</labl><catStat type="freq">313</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">504</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">3453</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rR3eJ0H+nGFTXhsGZR1o0g==</notes></var><var ID="v35512980" name="V168521" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of other (3rd) House candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:elGDkBsJDC5UGFtCL88XWQ==</notes></var><var ID="v35513085" name="V168522" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of other (3rd) House candidate</labl><sumStat type="stdev">0.45612940453580897</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="mean">-0.9110070257611252</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace</labl><catStat type="freq">4107</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:I+TMV7XTdL8bYQaLuhH6+g==</notes></var><var ID="v35513770" name="V168523" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Party of other (3rd) House candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:65Gi2c5qlU6cVi9ngbKp8A==</notes></var><var ID="v35513976" name="V168524" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Type of Gubernatorial race</labl><sumStat type="max">83.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mean">73.6192037470726</sumStat><sumStat type="stdev">20.642915639579122</sumStat><sumStat type="medn">82.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>69</catValu><labl level="category">69. DEMOCRATIC, REPUBLICAN AND OTHER CANDS -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>24</catValu><labl level="category">24. REPUBLICAN INCUMBENT- UNOPPOSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, Washington D.C. (11 in V163001a)</labl><catStat type="freq">28</catStat></catgry><catgry><catValu>52</catValu><labl level="category">52. REPUBLICAN CAND UNOPPOSED -Dem incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>81</catValu><labl level="category">81. NO RACE IN STATE: DEMOCRATIC GOVERNOR</labl><catStat type="freq">1282</catStat></catgry><catgry><catValu>51</catValu><labl level="category">51. DEMOCRATIC CAND UNOPPOSED -Dem incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>82</catValu><labl level="category">82. NO RACE IN STATE: REPUBLICAN GOVERNOR</labl><catStat type="freq">2368</catStat></catgry><catgry><catValu>21</catValu><labl level="category">21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER</labl><catStat type="freq">292</catStat></catgry><catgry><catValu>12</catValu><labl level="category">12. DEMOCRATIC INCUMBENT- REPUBLICAN CHALLENGER</labl><catStat type="freq">150</catStat></catgry><catgry><catValu>83</catValu><labl level="category">83. NO RACE IN STATE: OTHER GOVERNOR</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>29</catValu><labl level="category">29. REPUBLICAN INCUMBENT- DEMOCRATIC AND OTHER CHALLENGERS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>61</catValu><labl level="category">61. DEMOCRATIC CAND UNOPPOSED -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>75</catValu><labl level="category">75. DEMOCRATIC AND REPUBLICAN CANDS -other incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>13</catValu><labl level="category">13. DEMOCRATIC INCUMBENT- OTHER CHALLENGER</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>19</catValu><labl level="category">19. DEMOCRATIC INCUMBENT- REPUBLICAN AND OTHER CHALLENGERS</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>55</catValu><labl level="category">55. DEMOCRATIC AND REPUBLICAN CANDS -Dem incumbent not running</labl><catStat type="freq">139</catStat></catgry><catgry><catValu>59</catValu><labl level="category">59. DEMOCRATIC AND REPUBLICAN AND OTHER CANDS -Dem incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>14</catValu><labl level="category">14. DEMOCRATIC INCUMBENT- UNOPPOSED</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>65</catValu><labl level="category">65. DEMOCRATIC AND REPUBLICAN CANDS -Repub incumbent not running</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>62</catValu><labl level="category">62. REPUBLICAN CAND UNOPPOSED -Repub incumbent not running</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>23</catValu><labl level="category">23. REPUBLICAN INCUMBENT- OTHER CHALLENGER</labl><catStat type="freq">0</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:56Rc84fO3kIih1pd+k/TuQ==</notes></var><var ID="v35514331" name="V168525" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Democratic gubernatorial candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fcRTDjlXnT5eeIARANazjQ==</notes></var><var ID="v35514063" name="V168526" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Democratic gubernatorial candidate</labl><sumStat type="mean">-0.7121779859484783</sumStat><sumStat type="stdev">0.728123073587563</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">2.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">-1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">53</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">535</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 23,24,52,62,81,82,83 in gov_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3682</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pheryPN0dt2l/y6wXbdnIg==</notes></var><var ID="v35513871" name="V168527" intrvl="discrete"><location fileid="f10788397"/><labl level="variable">CAND. Name of Republican gubernatorial candidate</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:XyJsF0rIX6CkjoFC/EX6vA==</notes></var><var ID="v35513082" name="V168528" intrvl="contin"><location fileid="f10788397"/><labl level="variable">CAND. Gender of Republican gubernatorial candidate</labl><sumStat type="max">1.0</sumStat><sumStat type="mean">-0.724590163934426</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">-1.0</sumStat><sumStat type="stdev">0.6892607303231832</sumStat><sumStat type="min">-1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>2</catValu><labl level="category">2. Female</labl><catStat type="freq">0</catStat></catgry><catgry><catValu>-1</catValu><labl level="category">-1. Inap, 13,14,51,61,81,82,83 in gov_typerace; Washington D.C. (11 in V163001a)</labl><catStat type="freq">3682</catStat></catgry><catgry><catValu>1</catValu><labl level="category">1. Male</labl><catStat type="freq">588</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:CRQoLmGXsnxufnDGcm6rng==</notes></var><var ID="v35513953" name="web" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Web survey mode</labl><sumStat type="vald">4270.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.44724266685013125</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.7236533957845254</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">1.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:xIhEQyLjzf5UIDcaBwCbNg==</notes></var><var ID="v35514330" name="partyid" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Party ID, Strong Rep=1</labl><sumStat type="min">0.0</sumStat><sumStat type="mean">0.4764979985255984</sumStat><sumStat type="invd">23.0</sumStat><sumStat type="stdev">0.3587060239569557</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4247.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kRqdvr1CP2uCwd1WWcYQkQ==</notes></var><var ID="v35514044" name="partyid_2cat" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">602.0</sumStat><sumStat type="mean">0.47137404580152736</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.4992479413096063</sumStat><sumStat type="vald">3668.0</sumStat><catgry><catValu>1</catValu><labl level="category">Rep.</labl><catStat type="freq">1729</catStat></catgry><catgry><catValu>0</catValu><labl level="category">Dem.</labl><catStat type="freq">1939</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TCX92htKy69+vfvwFjFW/w==</notes></var><var ID="v35514159" name="angrytrump" intrvl="contin"><location fileid="f10788397"/><sumStat type="vald">4256.0</sumStat><sumStat type="mean">0.4863721804511283</sumStat><sumStat type="invd">14.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="stdev">0.37073769204422197</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Pso32X3qP3Uk1YbUNeVZbw==</notes></var><var ID="v35512866" name="angryclinton" intrvl="contin"><location fileid="f10788397"/><sumStat type="vald">4256.0</sumStat><sumStat type="stdev">0.3657855228783409</sumStat><sumStat type="invd">14.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.25</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.4119478383458649</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5Fz6Ulr4byvwffzPN4fafg==</notes></var><var ID="v35512835" name="anger" intrvl="contin"><location fileid="f10788397"/><sumStat type="stdev">0.32152622575240214</sumStat><sumStat type="vald">3661.0</sumStat><sumStat type="invd">609.0</sumStat><sumStat type="mean">0.6847855777110067</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.75</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:g3b3VD1ecnVhManz3aKXOA==</notes></var><var ID="v35514075" name="angrycandavg" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.5</sumStat><sumStat type="mean">0.4494705882352945</sumStat><sumStat type="stdev">0.18845147466020862</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">20.0</sumStat><sumStat type="vald">4250.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:KPTRp0aQYJeF9DntCyLg3A==</notes></var><var ID="v35512943" name="afraidtrump" intrvl="contin"><location fileid="f10788397"/><sumStat type="invd">17.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4253.0</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.4626146249706071</sumStat><sumStat type="stdev">0.3823344289521476</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Dv2xrsLaDEX+tpvXGw+2aA==</notes></var><var ID="v35512606" name="afraidclinton" intrvl="contin"><location fileid="f10788397"/><sumStat type="min">0.0</sumStat><sumStat type="medn">0.25</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.37188967136150247</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4260.0</sumStat><sumStat type="stdev">0.37334475830965</sumStat><sumStat type="invd">10.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OUqNmftEvCq+tQ3mrMAryg==</notes></var><var ID="v35513287" name="fear" intrvl="contin"><location fileid="f10788397"/><sumStat type="stdev">0.34820924642538303</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.6469663842579946</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">3659.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.75</sumStat><sumStat type="invd">611.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gx0yP2/FGjq5wxlg0STuLA==</notes></var><var ID="v35513485" name="afraidcandavg" intrvl="contin"><location fileid="f10788397"/><sumStat type="mean">0.41742174629324547</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">21.0</sumStat><sumStat type="stdev">0.20418380547840537</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="vald">4249.0</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:TJXEAdzDUIVZG213j45gAA==</notes></var><var ID="v35513808" name="hopefultrump" intrvl="contin"><location fileid="f10788397"/><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.2802301009626674</sumStat><sumStat type="medn">0.25</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">4259.0</sumStat><sumStat type="invd">11.0</sumStat><sumStat type="stdev">0.3343654121818908</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:AyFvBrzwrZx+BsAcz1WnOA==</notes></var><var ID="v35513526" name="hopefulclinton" intrvl="contin"><location fileid="f10788397"/><sumStat type="invd">15.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4255.0</sumStat><sumStat type="stdev">0.3357440777898106</sumStat><sumStat type="mean">0.30869565217391287</sumStat><sumStat type="medn">0.25</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:khNDYtW/4yZFCH2V0eQVkQ==</notes></var><var ID="v35514179" name="hopeful" intrvl="contin"><location fileid="f10788397"/><sumStat type="stdev">0.3158943379733222</sumStat><sumStat type="invd">609.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">3661.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.519530183010106</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oNmgSO3Ia+Eu/sYcRG484Q==</notes></var><var ID="v35513003" name="hopecandavg" intrvl="contin"><location fileid="f10788397"/><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.375</sumStat><sumStat type="invd">18.0</sumStat><sumStat type="vald">4252.0</sumStat><sumStat type="mean">0.29439087488240834</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.16616335839045432</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+VfwdJgrRtRZgdrYfUTA1w==</notes></var><var ID="v35513574" name="proudtrump" intrvl="contin"><location fileid="f10788397"/><sumStat type="stdev">0.3068830837710717</sumStat><sumStat type="invd">11.0</sumStat><sumStat type="mean">0.2261094153557175</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4259.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:od89Iaw5VOm7Oc09HL38FQ==</notes></var><var ID="v35512769" name="proudclinton" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.25</sumStat><sumStat type="vald">4258.0</sumStat><sumStat type="invd">12.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.3283202417572773</sumStat><sumStat type="mean">0.28446453734147503</sumStat><sumStat type="max">1.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:rIVMx87FdiKjUejo22uzAg==</notes></var><var ID="v35513761" name="proud" intrvl="contin"><location fileid="f10788397"/><sumStat type="min">0.0</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="stdev">0.3207934664909757</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">3663.0</sumStat><sumStat type="invd">607.0</sumStat><sumStat type="mean">0.46437346437346366</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:dx0GhUXBHJFDjWVilR+j3g==</notes></var><var ID="v35513094" name="pridecandavg" intrvl="contin"><location fileid="f10788397"/><sumStat type="max">1.0</sumStat><sumStat type="invd">16.0</sumStat><sumStat type="medn">0.25</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.166306140030078</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">4254.0</sumStat><sumStat type="mean">0.25534790785143424</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3c95HyDhYTic2GG3l1dYvg==</notes></var><var ID="v35512715" name="female" intrvl="contin"><location fileid="f10788397"/><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.49955278340857157</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.5224824355971894</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NI5LJdkc5CDBIdkS2ZCqqQ==</notes></var><var ID="v35513207" name="male" intrvl="contin"><location fileid="f10788397"/><sumStat type="min">0.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="stdev">0.49885562589894894</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="mean">0.46533957845433255</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:orUChofYNqDlb3Qfk9UazQ==</notes></var><var ID="v35512533" name="gender" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Gender (Female)</labl><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">52.0</sumStat><sumStat type="stdev">0.49922190189526655</sumStat><sumStat type="vald">4218.0</sumStat><sumStat type="mean">0.5289236605026079</sumStat><sumStat type="mode">.</sumStat><catgry><catValu>1</catValu><labl level="category">Female</labl><catStat type="freq">2231</catStat></catgry><catgry><catValu>0</catValu><labl level="category">Male</labl><catStat type="freq">1987</catStat></catgry><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:x76voFC7yCRmR+jUWsaQrQ==</notes></var><var ID="v35513706" name="White" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Race (White)</labl><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.4505015282569083</sumStat><sumStat type="mean">0.7170167571394859</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4237.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">33.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:DLboHtAlfcS6hhm3ZtLvhQ==</notes></var><var ID="v35513876" name="latinx" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Ethnicity (Latinx)</labl><sumStat type="stdev">0.3075318189882617</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.1057330827067659</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">14.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">4256.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:bFjabu3IpG+/6k9KlAWFcw==</notes></var><var ID="v35513593" name="polint" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Political Interest</labl><sumStat type="mean">0.623653395784543</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="stdev">0.2754225472485134</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.75</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fafaL6Tlf6UCu/gteEKuMw==</notes></var><var ID="v35513370" name="campaignint" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Campaign Interest</labl><sumStat type="medn">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.7001170960187354</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.3479181942805618</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:K99MaiAJpaskojfAcK/42w==</notes></var><var ID="v35512999" name="know1" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.0</sumStat><sumStat type="invd">196.0</sumStat><sumStat type="vald">4074.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.42390770741286005</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.4942367057003038</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pu5ifJNYGFUH0aumEA2zPg==</notes></var><var ID="v35514204" name="know2" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">121.0</sumStat><sumStat type="mean">0.2774162448782836</sumStat><sumStat type="stdev">0.447777621157977</sumStat><sumStat type="vald">4149.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:lasNDpx+lsMord3U3y51KQ==</notes></var><var ID="v35512857" name="know3" intrvl="contin"><location fileid="f10788397"/><sumStat type="mean">0.732811353070713</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="stdev">0.4425458093030398</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">183.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="vald">4087.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WRuRi+swMYZM0eX2icA2NA==</notes></var><var ID="v35513774" name="know4" intrvl="contin"><location fileid="f10788397"/><sumStat type="mean">0.6714040676304823</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4081.0</sumStat><sumStat type="stdev">0.46976027853298136</sumStat><sumStat type="invd">189.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">1.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8pIw0Nf156jtrrVXxevM0w==</notes></var><var ID="v35514257" name="polknow" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Political Knowledge</labl><sumStat type="invd">83.0</sumStat><sumStat type="vald">4187.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.2956311147638293</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.5214353954490232</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GRxlA2o6BmFo72IO5Je/Vw==</notes></var><var ID="v35513514" name="ageN" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Age</labl><sumStat type="vald">4149.0</sumStat><sumStat type="max">0.8999999761581421</sumStat><sumStat type="medn">0.5</sumStat><sumStat type="stdev">0.1757778646967407</sumStat><sumStat type="min">0.18000000715255737</sumStat><sumStat type="mean">0.4958230893592945</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">121.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NCzwtQjBUY52ULHQgDWXDw==</notes></var><var ID="v35513534" name="education" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Education</labl><sumStat type="medn">0.6666666865348816</sumStat><sumStat type="min">0.0</sumStat><sumStat type="invd">44.0</sumStat><sumStat type="mean">0.6780564928320674</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">4226.0</sumStat><sumStat type="stdev">0.15498602334672346</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:weJiF6RItupbVdGb64zR2A==</notes></var><var ID="v35513479" name="income" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Income</labl><sumStat type="invd">202.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.5555555820465088</sumStat><sumStat type="stdev">0.2991974423732658</sumStat><sumStat type="max">1.0</sumStat><sumStat type="mean">0.5329764384131666</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">4068.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:reY0m3MhzsZqiw3IQmeNJA==</notes></var><var ID="v35512894" name="incomeavg" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Average income in year</labl><sumStat type="invd">0.0</sumStat><sumStat type="min">0.5329764485359192</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.5329764485359192</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="vald">4270.0</sumStat><sumStat type="max">0.5329764485359192</sumStat><sumStat type="medn">0.5329764485359192</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:8qWlKxq4vogjxTxjoHN21Q==</notes></var><var ID="v35512988" name="income_norm" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Normalized income - individual / average income in year</labl><sumStat type="max">1.8762555122375488</sumStat><sumStat type="vald">4068.0</sumStat><sumStat type="medn">1.042364239692688</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5613708457838295</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mean">0.9999999816922307</sumStat><sumStat type="invd">202.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:/Fdk+BcD3gDb4bFxi7vvAQ==</notes></var><var ID="v35514099" name="income_norm01" intrvl="contin"><location fileid="f10788397"/><labl level="variable">Income</labl><sumStat type="vald">4068.0</sumStat><sumStat type="max">0.9997540712356567</sumStat><sumStat type="mean">0.5328453796198672</sumStat><sumStat type="stdev">0.29912386596722434</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">0.5554189682006836</sumStat><sumStat type="invd">202.0</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:urahU2UjR3+AZ6KL4PVO+A==</notes></var><var ID="v35514019" name="persuade" intrvl="contin"><location fileid="f10788397"/><sumStat type="invd">623.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="vald">3647.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.5000670408952835</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="mean">0.5012338908692069</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:pTiVAFHuGIot1/6TvMIPVw==</notes></var><var ID="v35512905" name="rally" intrvl="contin"><location fileid="f10788397"/><sumStat type="vald">3647.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">623.0</sumStat><sumStat type="mean">0.07129147244310405</sumStat><sumStat type="stdev">0.2573463769946433</sumStat><sumStat type="min">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="medn">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qlp+N3XrVQonArKOdW8RFw==</notes></var><var ID="v35514230" name="button" intrvl="contin"><location fileid="f10788397"/><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="mean">0.12092130518234143</sumStat><sumStat type="vald">3647.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">623.0</sumStat><sumStat type="stdev">0.32608050876093814</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZJOy1oOLXqhM6SRaNf0q6Q==</notes></var><var ID="v35514130" name="volunteer" intrvl="contin"><location fileid="f10788397"/><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="vald">3647.0</sumStat><sumStat type="mean">0.032629558541266895</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">0.17768941400077573</sumStat><sumStat type="invd">623.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+rpQJLvhDwWXTXe+YLdfyA==</notes></var><var ID="v35512899" name="donatecand" intrvl="contin"><location fileid="f10788397"/><sumStat type="mean">0.12126200274348434</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">3645.0</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">625.0</sumStat><sumStat type="stdev">0.3264762952293717</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:X907wbBJ4T+QkSjrRrPLOw==</notes></var><var ID="v35513073" name="donateparty" intrvl="contin"><location fileid="f10788397"/><sumStat type="medn">0.0</sumStat><sumStat type="vald">3645.0</sumStat><sumStat type="invd">625.0</sumStat><sumStat type="mean">0.07791495198902604</sumStat><sumStat type="max">1.0</sumStat><sumStat type="stdev">0.2680744821889116</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:kSocG4R8j3p9Pywzr0Ne7w==</notes></var><var ID="v35513057" name="contributegroup4cand" intrvl="contin"><location fileid="f10788397"/><sumStat type="vald">3647.0</sumStat><sumStat type="stdev">0.19281432590222947</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">0.038661913901837104</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="invd">623.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:O+/J0qZWOTO/zEU8G9TeVg==</notes></var><var ID="v35513305" name="donation" intrvl="contin"><location fileid="f10788397"/><labl level="variable">mean(unstandardized items)</labl><sumStat type="mean">0.07922149320508842</sumStat><sumStat type="medn">0.0</sumStat><sumStat type="max">1.0</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.2063006096598183</sumStat><sumStat type="vald">3648.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">622.0</sumStat><varFormat type="numeric" formatname="float"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qaA5+Pzr8NMd0scTOs13Pg==</notes></var></dataDscr><otherMat ID="f11299580" URI="https://dataverse.harvard.edu/api/access/datafile/11299580" level="datafile"><labl>ANES code_final.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f10788398" URI="https://dataverse.harvard.edu/api/access/datafile/10788398" level="datafile"><labl>anes_timeseries_2012.dta</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-14</notes></otherMat><otherMat ID="f11299579" URI="https://dataverse.harvard.edu/api/access/datafile/11299579" level="datafile"><labl>How Social Desirability Bias Impacts the Expression of Emotions.log</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f11102406" URI="https://dataverse.harvard.edu/api/access/datafile/11102406" level="datafile"><labl>README file.rtf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/rtf</notes></otherMat></codeBook>