<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: Threat-Inducing Violent Events Exacerbate Social Desirability Bias in Survey Responses</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/XOCNK1</dcterms:identifier><dcterms:creator>Singh, Shane P.</dcterms:creator><dcterms:creator>Tir, Jaroslav</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2021-02-26</dcterms:issued><dcterms:modified>2023-04-26T10:04:38Z</dcterms:modified><dcterms:description>A key challenge in survey research is social desirability bias: respondents feel pressured to report acceptable attitudes and behaviors. Building on established findings, we argue that threat-inducing violent events are a heretofore unaccounted for driver of social desirability bias. We probe this argument by investigating whether fatal terror attacks lead respondents to overreport past electoral participation, a well-known and measurable result of social desirability bias. Using a cross-national analysis and natural and survey experiments, we show that fatal terror attacks generate turnout overreporting. This highlights that threat-inducing violent events induce social desirability; that researchers need to account for the timing of survey fieldwork vis-à-vis such events; and that some of the previously reported post-violent conflict increases in political participation may be more apparent than real.</dcterms:description><dcterms:subject>Social Sciences</dcterms:subject><dcterms:subject>Social desirability</dcterms:subject><dcterms:subject>Threats</dcterms:subject><dcterms:subject>Turnout</dcterms:subject><dcterms:subject>Surveys</dcterms:subject><dcterms:isReferencedBy>Singh, Shane P., and Jaroslav Tir. 2021. "Threat-Inducing Violent Events Exacerbate Social Desirability Bias in Survey Responses." &lt;i>American Journal of Political Science&lt;/i> 67 (1): 154-69., doi, 10.1111/ajps.12615, https://doi.org/10.1111/ajps.12615</dcterms:isReferencedBy><dcterms:date>2021-02-26</dcterms:date><dcterms:contributor>Singh, Shane</dcterms:contributor><dcterms:dateSubmitted>2020-11-23</dcterms:dateSubmitted><dcterms:source>Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Svend-Erik Skaaning, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Agnes Cornell, Sirianne Dahlum, Haakon Gjerløw, Adam Glynn, Allen Hicken, Joshua Krusell, Anna Lührmann, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Moa Olin, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Johannes von Römer, Brigitte Seim, Rachel Sigman, Jeffrey Staton, Natalia Stepanova, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson, and Daniel Ziblatt. 2018. "V-Dem [Country-Year/Country-Date] Dataset v8". Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemcy18.</dcterms:source><dcterms:source>&lt;br>&lt;/br>
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