<?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>Replication Data for: Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011 - 2016)</titl><IDNo agency="DOI">doi:10.7910/DVN/RTAJ0X</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2021-02-04</distDate></distStmt><verStmt source="archive"><version date="2024-08-20" type="RELEASED">1</version></verStmt><biblCit>Robinson, Sarah L.; Kulich, Clara, 2021, "Replication Data for: Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011 - 2016)", https://doi.org/10.7910/DVN/RTAJ0X, Harvard Dataverse, V1, UNF:6:6OwzJW9JkMEokzuUo3YDdQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011 - 2016)</titl><IDNo agency="DOI">doi:10.7910/DVN/RTAJ0X</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Geneva">Robinson, Sarah L.</AuthEnty><AuthEnty affiliation="University of Geneva">Kulich, Clara</AuthEnty></rspStmt><prodStmt><grantNo agency="Swiss National Science Foundation">100019_188934 / 1</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="University of Geneva" email="sarah.robinson@unige.ch">Robinson, Sarah L.</contact><contact affiliation="University of Geneva" email="clara.kulich@unige.ch">Kulich, Clara</contact><depositr>Robinson, Sarah L.</depositr><depDate>2020-10-27</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/RTAJ0X"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>American Politics</keyword><keyword>Women</keyword><keyword>State Legislatures</keyword><keyword>Glass Cliff</keyword><keyword>Political Parties</keyword><keyword>Political Ideology</keyword><keyword>Social Psychology</keyword><keyword>Gender Roles</keyword><keyword>Sexism</keyword></subject><abstract>Compilation of American state legislative election outcomes by district for both upper and lower chambers in each state (2011-2016), includes candidate gender and party, seat type, incumbency, and other variables. Additional data for state level legislative variables: proportion of women serving in each legislature in each chamber by party and state (2017), women's institutional resources, term limits, professionalism, and derived study measures (district seat winnability). Associated dataset codebooks and replication scripts (R) are catalogued for analysis provided in 'Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011 - 2016)'. 
Citations for original data sources are provided in the README.txt file associated to each replication folder. Data users are asked to cite the original sources in link with this compilation where applicable.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2011">2011</timePrd><timePrd cycle="P1" event="end" date="2017">2017</timePrd></sumDscr></stdyInfo><method><dataColl><sources><dataSrc>Klarner, C. (2013). State Legislative Election Returns Data, 2011-2012. https://doi.org/10.7910/DVN/2T7Z7B, Harvard Dataverse, V1, UNF:5:Hf0MX1ES3oWKGU3trWPKDg==</dataSrc><dataSrc>Klarner, C., Berry, W. D., Carsey, T. M., Jewell, M., Niemi, R., Powell, L., and Snyder, J. (2013). State Legislative Election Returns (1967-2010). Ann Arbor, MI: Inter-university https://doi.org/10.3886/ICPSR34297.v1</dataSrc><dataSrc>Center for American Women and Politics (CAWP). (2017). Facts: Women in state legislatures 2017. National Information Bank on Women in Public Office. Eagleton Institute of Politics, Rutgers University. https://cawp.rutgers.edu/women-state-legislature-2017</dataSrc><dataSrc>Center for American Women and Politics (CAWP). (2019). Past candidate and election information: CAWP State Legislative Women Nominees Database (1992-2019). National Information Bank on Women in Public Office. Eagleton Institute of Politics, Rutgers University. https://cawp.rutgers.edu/facts/elections/past_candidates</dataSrc><dataSrc>Institute for Women's Policy Research (IWPR). (2015). Table B1.6, Women's Institutional Resources, 2015. Status of Women in the States. https://statusofwomendata.org/explore-the-data/political-participation/additional-state-data/womens-institutional-resources/</dataSrc><dataSrc>National Conference of State Legislatures (NCSL). (2017, June 14). Full- and Part-Time Legislatures. https://www.ncsl.org/research/about-state-legislatures/full-and-part-time-legislatures.aspx</dataSrc><dataSrc>National Conference of State Legislatures (NCSL). (2015, March 13). The term limited states. https://www.ncsl.org/research/about-state-legislatures/chart-of-term-limits-states.aspx</dataSrc><dataSrc>Reflective Democracy Campaign. (2015). Who leads us? 2014–15 findings: Who leads us? Full dataset. [Data set]. Women’s Donor Network. https://wholeads.us/research/who-leads-us-findings/.</dataSrc><dataSrc>Reflective Democracy Campaign. (2017). Reflective democracy research findings, 2016–17: Reflective democracy research full data sets and reports. [Data set]. Women Donors Network. https://wholeads.us/research/reflective-democracy-research-findings-2016-2017/.</dataSrc><dataSrc>State legislative chambers that use multi-member districts. (n.d.). In Ballotpedia: The Encyclopedia of American Politics. Retrieved September 12, 2019, from https://ballotpedia.org/State_legislative_chambers_that_use_multi-member_districts</dataSrc><dataSrc>State legislative elections. (n.d.). In Ballotpedia: The Encyclopedia of American Politics. Retrieved November, 2017, from https://ballotpedia.org/State_legislative_elections</dataSrc><dataSrc>United States Social Security Administration. (n.d.). Popular baby names: Beyond the top 1000 names, National data. [Data set]. Retrieved February 1, 2018, from https://www.ssa.gov/oact/babynames/limits.html</dataSrc></sources></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOA" level="dv">Contact author and briefly explain use.</notes><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Robinson, S. L., Kulich, C., Aelenei, C., &amp; Iacoviello, V. (2021). Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011–2016). Psychology of Women Quarterly, 45(2), p. 155-177</titl><IDNo agency="doi">10.1177/0361684321992046</IDNo></titlStmt><biblCit>Robinson, S. L., Kulich, C., Aelenei, C., &amp; Iacoviello, V. (2021). Political Ideology Modifies the Effect of Glass Cliff Candidacies on Election Outcomes for Women in American State Legislative Races (2011–2016). Psychology of Women Quarterly, 45(2), p. 155-177</biblCit></citation><ExtLink URI="https://journals.sagepub.com/doi/full/10.1177/0361684321992046"/></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f4158425" URI="https://dataverse.harvard.edu/api/access/datafile/4158425"><fileTxt><fileName>DataSet_1.tab</fileName><dimensns><caseQnty>32981</caseQnty><varQnty>23</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:FoBkb/Fy38a2gCA+5Xj7Ng==</notes></fileDscr><fileDscr ID="f4158410" URI="https://dataverse.harvard.edu/api/access/datafile/4158410"><fileTxt><fileName>DataSet_2.tab</fileName><dimensns><caseQnty>10354</caseQnty><varQnty>26</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:F8QeCDZL9MXHRUnkvnpCzA==</notes></fileDscr><fileDscr ID="f4158424" 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limit, the length of the term limit, shape of the term limit, and a variable that classifies legislatures according to five levels of professionalism based on time demands, salary, and staff size. From: National Conference of State Legislatures (NCSL). (2017, June 14). Full- and Part-Time
Legislatures. https://www.ncsl.org/research/about-state-legislatures/full-and-part-time-
legislatures.aspx
And From: National Conference of State Legislatures (NCSL). (2015, March 13). The term limited states. https://www.ncsl.org/research/about-state-legislatures/chart-of-term-limits-states.aspx
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