<?xml version='1.0' encoding='UTF-8'?><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>Cooperative Election Study Common Content, 2020</titl><IDNo agency="DOI">doi:10.7910/DVN/E9N6PH</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2021-03-26</distDate></distStmt><verStmt source="archive"><version date="2022-02-14" type="RELEASED">4</version></verStmt><biblCit>Schaffner, Brian; Ansolabehere, Stephen; Luks, Sam, 2021, "Cooperative Election Study Common Content, 2020", https://doi.org/10.7910/DVN/E9N6PH, Harvard Dataverse, V4, UNF:6:zWLoanzs2F3awt+875kWBg== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Cooperative Election Study Common Content, 2020</titl><IDNo agency="DOI">doi:10.7910/DVN/E9N6PH</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Tufts University">Schaffner, Brian</AuthEnty><AuthEnty affiliation="Harvard University">Ansolabehere, Stephen</AuthEnty><AuthEnty affiliation="YouGov">Luks, Sam</AuthEnty></rspStmt><prodStmt><producer>YouGov</producer><producer affiliation="Add the University name here." abbr="Enter your 3 letter abbreviation">Add your team name(s) here.</producer></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr affiliation="Harvard University and MIT">CCES</distrbtr><contact affiliation="Tufts University" email="brian.schaffner@tufts.edu">Brian Schaffner</contact><depositr>Schaffner, Brian</depositr><depDate>2021-03-22</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/E9N6PH"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword></subject><abstract>This is the final release of the 2020 CES Common Content Dataset. The data includes a nationally representative sample of 61,000 American adults. This release includes the data from the survey, a full guide to the data, and the questionnaires. The dataset includes vote validation performed by Catalist. Please consult the guide and the study website (https://cces.gov.harvard.edu/frequently-asked-questions) if you have questions about the study.

Special thanks to Marissa Shih and Rebecca Phillips for their work in preparing this data for release.</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="f5793679" URI="https://dataverse.harvard.edu/api/access/datafile/5793679"><fileTxt><fileName>misidentifiedNCrespondents.tab</fileName><dimensns><caseQnty>925</caseQnty><varQnty>1</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:zWLoanzs2F3awt+875kWBg==</notes><notes level="file" type="DATAVERSE:FILEDESC" subject="DataFile Description">This file identifies which respondents were assigned to the wrong congressional district during the survey administration. </notes></fileDscr><dataDscr><var ID="v26975965" name="caseid" intrvl="discrete"><location fileid="f5793679"/><labl level="variable">caseid</labl><sumStat type="stdev">6399496.835396676</sumStat><sumStat type="medn">1.241646011E9</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">1.2433838778216217E9</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">1.261131135E9</sumStat><sumStat type="min">1.223602521E9</sumStat><sumStat type="vald">925.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zWLoanzs2F3awt+875kWBg==</notes></var></dataDscr><otherMat ID="f5793681" URI="https://dataverse.harvard.edu/api/access/datafile/5793681" level="datafile"><labl>CCES Guide 2020.pdf</labl><txt>Guide to the 2020 CES, including description of study and information on sampling, matching, weighting, and vote validation.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f4949558" URI="https://dataverse.harvard.edu/api/access/datafile/4949558" level="datafile"><labl>CES20_Common_OUTPUT_vv.csv</labl><txt>Final release dataset for the 2020 CES. Vote validation included. N = 61,000.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/csv</notes></otherMat><otherMat ID="f4949545" URI="https://dataverse.harvard.edu/api/access/datafile/4949545" level="datafile"><labl>CES20_Common_OUTPUT_vv.dta</labl><txt>Final release dataset for the 2020 CES. Vote validation included. N = 61,000.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-14</notes></otherMat><otherMat ID="f4462966" URI="https://dataverse.harvard.edu/api/access/datafile/4462966" level="datafile"><labl>CES20_Common_post_qx.pdf</labl><txt>Post-election wave questionnaire.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f4462965" URI="https://dataverse.harvard.edu/api/access/datafile/4462965" level="datafile"><labl>CES20_Common_pre_qx.pdf</labl><txt>Pre-election wave questionnaire.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f5793680" URI="https://dataverse.harvard.edu/api/access/datafile/5793680" level="datafile"><labl>Technical Memo on NC Respondents Assigned to Incorrect Districts.pdf</labl><txt>This memo describes an issue with the survey administration that caused approximately half of the respondents in North Carolina to be assigned to the wrong congressional district.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>