<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: Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia</titl><IDNo agency="DOI">doi:10.7910/DVN/5GP5SI</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-04-28</distDate></distStmt><verStmt source="archive"><version date="2023-04-28" type="RELEASED">1</version></verStmt><biblCit>Kristen Kao; Ellen Lust; Marwa Shalaby; Chagai Weiss, 2023, "Replication Data for: Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia", https://doi.org/10.7910/DVN/5GP5SI, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia</titl><IDNo agency="DOI">doi:10.7910/DVN/5GP5SI</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Gothenburg">Kristen Kao</AuthEnty><AuthEnty affiliation="University of Gothenburg">Ellen Lust</AuthEnty><AuthEnty affiliation="University of Wisconsin-Madison">Marwa Shalaby</AuthEnty><AuthEnty affiliation="Stanford University">Chagai Weiss</AuthEnty><othId role="Data Collector">NAMA Strategic Intelliegnce Solutions (Jordan)</othId><othId role="Data Collector">ELKA Consulting (Tunisia)</othId><othId role="Data Collector">One to One for Research and Polling (Morocco)</othId><othId role="Data Manager">Kirk Ammerman</othId><othId role="Data Manager">Erica Ann Metheney</othId><othId role="Data Curator">Gibran S. Okar</othId><othId role="Project Manager">Rose Shaber-Twedt</othId></rspStmt><prodStmt><producer affiliation="University of Gothenburg" abbr="GLD">Governance and Local Development Institute</producer><grantNo agency="Carnegie Corporation of New York">G-18-56248</grantNo><grantNo agency="Swedish Research Council">E0003801</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr affiliation="University of Gothenburg" abbr="GLD" URI="http://gld.gu.se/">Governance and Local Development Institute</distrbtr><contact affiliation="University of Gothenburg" email="data@gld.gu.se">Governance and Local Development Institute</contact><depositr>Governance and Local Development Institute</depositr><depDate>2023-02-06</depDate><distDate>2023</distDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/5GP5SI"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>gender</keyword><keyword>gender politics</keyword><keyword>political representation</keyword><keyword>legitimacy</keyword><keyword>legislatures</keyword><keyword>hybrid regimes</keyword><keyword>domestic violence</keyword></subject><abstract date="2023-02-06">The purpose of the dataset is to study the effect of gender balance in legislative committees on perceptions of the legitimacy of the committee's decisions. We aimed to interview samples of Jordanian, Tunisian, and Moroccan citizens over the phone. Participants were randomly recruited from phone registers, but as with all phone surveys, the sample cannot be said to be fully nationally representative. The sample sizes were about 3200 in Jordan, 1600 in Tunisia, and 1600 in Morocco which was confirmed to be a large enough sample to power our survey experiment. Please find more information in our pre-analysis plan at https://aspredicted.org/hd3m6.pdf and the appendix of our paper.</abstract><sumDscr><dataKind>Survey Data</dataKind><dataKind>Experimental Data</dataKind></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><relPubl><citation><titlStmt><titl>KAO, KRISTEN, ELLEN LUST, MARWA SHALABY, and CHAGAI M. WEISS. 2023. “Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia.” American Political Science Review, 1–9.</titl><IDNo agency="doi">10.1017/S0003055423000357</IDNo></titlStmt><biblCit>KAO, KRISTEN, ELLEN LUST, MARWA SHALABY, and CHAGAI M. WEISS. 2023. “Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia.” American Political Science Review, 1–9.</biblCit></citation><ExtLink URI="https://doi.org/10.1017/S0003055423000357"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f6919223" URI="https://dataverse.harvard.edu/api/access/datafile/6919223" level="datafile"><labl>1.replication_maintext_figure1.R</labl><txt>Code to create Figure 1 (panel a and b) in the main text using World Values Survey data (replication_data/WV6_Data_R_v20201117.rdata) and V-Dem data (replication_data/V-Dem-CY-Core-v12.rds).</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f6919232" URI="https://dataverse.harvard.edu/api/access/datafile/6919232" level="datafile"><labl>2.replication_maintext_figure2_5.R</labl><txt>Code to create Figures 2-5 in the main text using the data we collected in Jordan, Morocco, and Tunisia (replication_data/data_for_analysis.rds).</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f6919231" URI="https://dataverse.harvard.edu/api/access/datafile/6919231" level="datafile"><labl>3.replication_appendix_figures_tables.R</labl><txt>Code to create all figures and tables in the appendix using the data we collected in Jordan, Morocco, and Tunisia (replication_data/data_for_analysis.rds).</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f6919222" URI="https://dataverse.harvard.edu/api/access/datafile/6919222" level="datafile"><labl>4.replication_DV_appendix_tables.R</labl><txt>Code to create table format results of figures from the appendix reported in our secondary appendix (dataverse_table_appendix.pdf), using the data we collected in Jordan, Morocco, and Tunisia (replication_data/data_for_analysis.rds).</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f6919249" URI="https://dataverse.harvard.edu/api/access/datafile/6919249" level="datafile"><labl>Arabic Jordan.doc</labl><txt>Arabic translation of questionnaire for Jordan</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/msword</notes></otherMat><otherMat ID="f6919247" URI="https://dataverse.harvard.edu/api/access/datafile/6919247" level="datafile"><labl>Arabic Morocoo.doc</labl><txt>Arabic translation of questionnaire for Morocco</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/msword</notes></otherMat><otherMat ID="f6919248" URI="https://dataverse.harvard.edu/api/access/datafile/6919248" level="datafile"><labl>Arabic Tunisia.doc</labl><txt>Arabic translation of questionnaire for Tunisia</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/msword</notes></otherMat><otherMat ID="f6919221" URI="https://dataverse.harvard.edu/api/access/datafile/6919221" level="datafile"><labl>codebook data_for_analysis.docx</labl><txt>Codebook for data used in experimental analysis.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.wordprocessingml.document</notes></otherMat><otherMat ID="f6919227" URI="https://dataverse.harvard.edu/api/access/datafile/6919227" level="datafile"><labl>data_for_analysis.rds</labl><txt> Combined data from experiments implemented in Jordan, Morocco and Tunisia.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/gzip</notes></otherMat><otherMat ID="f6919229" URI="https://dataverse.harvard.edu/api/access/datafile/6919229" level="datafile"><labl>dataverse_table_appendix.pdf</labl><txt>Additional appendix reporting table format results of Figures reporting regressions results in the appendix. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f6919246" URI="https://dataverse.harvard.edu/api/access/datafile/6919246" level="datafile"><labl>English.doc</labl><txt>Survey questionnaire in English. English was the language used to construct the survey. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/msword</notes></otherMat><otherMat ID="f6919230" URI="https://dataverse.harvard.edu/api/access/datafile/6919230" level="datafile"><labl>IRB Approval.pdf</labl><txt>Institutional Review Board approval from University of Wisconsin-Madison</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f6919228" URI="https://dataverse.harvard.edu/api/access/datafile/6919228" level="datafile"><labl>mena_gender_analysis.Rproj</labl><txt>Rproject that should be used to load and run all code.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/octet-stream</notes></otherMat><otherMat ID="f6919256" URI="https://dataverse.harvard.edu/api/access/datafile/6919256" level="datafile"><labl>README.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f6919252" URI="https://dataverse.harvard.edu/api/access/datafile/6919252" level="datafile"><labl>sampling overview.txt</labl><txt>Overview of sampling procedure</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f6919233" URI="https://dataverse.harvard.edu/api/access/datafile/6919233" level="datafile"><labl>V-Dem Codebook v12.pdf</labl><txt>Codebook for V-dem data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f6919226" URI="https://dataverse.harvard.edu/api/access/datafile/6919226" level="datafile"><labl>V-Dem-CY-Core-v12.rds</labl><txt>V-dem data for Figure 1 panel b.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/gzip</notes></otherMat><otherMat ID="f6919225" URI="https://dataverse.harvard.edu/api/access/datafile/6919225" level="datafile"><labl>WV6_Codebook_v20180912.pdf</labl><txt>Codebook for World Values Survey data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f6919224" URI="https://dataverse.harvard.edu/api/access/datafile/6919224" level="datafile"><labl>WV6_Data_R_v20201117.rdata</labl><txt>World Values Survey data for Figure 1 panel a.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-rlang-transport</notes></otherMat></codeBook>