The Journal of Experimental Political Science (JEPS) features research - be it theoretical, empirical, methodological, or some combination thereof - that utilizes experimental methods or experimental reasoning based on naturally occurring data.

This Dataverse contains replication data and other relevant files for articles published in the journal. For step by step instructions to upload your data and replication materials, see the JEPS Author Guide to Dataverse.

For more information about the journal, including its requirements regarding data and replication files, see the Instructions for Contributors page on the JEPS website.
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111 to 120 of 214 Results
Dec 31, 2020
Green-Riley, Naima; Kruszewska-Eduardo, Dominika; Fu, Ze, 2020, "Replication Data for: Teargas and Selfie Cams: Foreign Protests and Media in the Digital Age", https://doi.org/10.7910/DVN/N9RIKG, Harvard Dataverse, V1
This study explores the impact of repression of foreign protests and the media source reporting the news upon American foreign policy preferences for democracy promotion abroad. We use two survey experiments featuring carefully-edited video treatments to show that even short media clips presenting foreign protests as violently repressed increase Am...
Dec 22, 2020
Kalmoe, Nathan, 2020, "Replication Data for "Genes, Ideology, & Sophistication"", https://doi.org/10.7910/DVN/NBIWOA, Harvard Dataverse, V1, UNF:6:aoY/dVqFcC0AQ6iuGmT/OQ== [fileUNF]
Stata replication files for the online appendix. Twins data & codebook downloaded years ago from the University of Nebraska & converted to Stata. https://www.unl.edu/polphyslab/data Open MX replication files for the main text analysis. (Incomplete for now)
Dec 3, 2020
Zhou, Yang-Yang; Lieberman, Evan, 2020, "Replication Data for: Self-efficacy and Citizen Engagement in Development: Experimental Evidence from Tanzania", https://doi.org/10.7910/DVN/SLYEUJ, Harvard Dataverse, V1, UNF:6:LvptIkMbp9DrdZFvScWdOQ== [fileUNF]
Recent studies of efforts to increase citizen engagement in local governance through information campaigns have reported mixed results. We consider whether low levels of self-efficacy beliefs might be limiting engagement, especially among poor citizens in poor countries. Citizens may be caught in an ``efficacy trap'' which limits their realization...
Nov 28, 2020
Moniz, Philip, 2020, "Replication Data for: How Bad Is It? Elite Influence and the Perceived Seriousness of the Coronavirus Pandemic", https://doi.org/10.7910/DVN/JXPS9T, Harvard Dataverse, V1, UNF:6:cDvWdK2jeSljhzNjtVT9Gg== [fileUNF]
In spite of its immense global impact, Republicans and Democrats disagree on how serious a problem the coronavirus pandemic is. One likely reason is the political elites to whom partisans listen. As a means of shoring up support, President Trump has largely downplayed and but sometimes hyped the severity of the virus's toll on American lives. Do th...
Nov 25, 2020
LYONS, BEN, 2020, "Replication Data for: Self-Affirmation and Identity-Driven Political Behavior", https://doi.org/10.7910/DVN/HUJZMO, Harvard Dataverse, V1, UNF:6:tSlL9a22n03JCwRgVE3ahw== [fileUNF]
Psychological attachment to political parties can bias people’s attitudes, beliefs, and group evaluations. Studies from psychology suggest that self-affirmation theory may ameliorate this problem in the domain of politics on a variety of outcome measures. We report a series of studies conducted by separate research teams that examine whether a self...
Nov 25, 2020
Grossman, Guy; Kronick, Dorothy; Levendusky, Matthew; Meredith, Marc, 2020, "Replication Data for: The Majoritarian Threat to Liberal Democracy", https://doi.org/10.7910/DVN/X4ECFT, Harvard Dataverse, V1, UNF:6:H87/Dnx7Pdi5xbPoVxEXtw== [fileUNF]
Data and code necessary to replicate the analyses in "The Majoritarian Threat to Liberal Democracy" (Journal of Experimental Political Science)
Oct 30, 2020
Sauermann, Jan, 2020, "Replication Data for: Prosociality in Majority Decisions: A Laboratory Experiment on the Robustness of the Uncovered Set", https://doi.org/10.7910/DVN/NZ83TD, Harvard Dataverse, V1, UNF:6:yJ/YSvmjVMg4hepHKQvqGg== [fileUNF]
Social choice theory demonstrates that majority rule is generically indeterminate. However, from an empirical perspective, large and arbitrary policy shifts are rare events in politics. The uncovered set is the dominant preference-based explanation for the apparent empirical predictability of majority rule in multiple dimensions. Its underlying log...
Oct 25, 2020
Munger, Kevin; Luca, Mario; Nagler, Jonathan; Tucker, Jonathan, 2020, "Replication Data for: You Won't Believe Our Results! But They Might: Heterogeneity in Beliefs About The Accuracy of Online Media", https://doi.org/10.7910/DVN/39NCJL, Harvard Dataverse, V1, UNF:6:1lmolR3tph5R8SJ6zrbsAg== [fileUNF]
Replication data and code
Oct 13, 2020
Rivera, Michael; Hughes, D. Alex; Gell-Redman, Micah, 2020, "Replication Data for: Email Mobilization Messages Suppress Turnout Among Black and Latino Voters: Experimental Evidence From the 2016 General Election", https://doi.org/10.7910/DVN/YIZEA7, Harvard Dataverse, V1
This repository builds a compute environment, and executes code against data in support of the publication Email Mobilization Messages Suppress Turnout Among Black and Latino Voters: Experimental Evidence From the 2016 General Election. The paper was published in the Journal of Experimental Political Science in 2020.
Oct 5, 2020
Safarpour, Alauna C.; Hanmer, Michael J., 2020, "Replication Data for: Information about Coronavirus Exposure Effects Attitudes Towards Voting Methods", https://doi.org/10.7910/DVN/5E1PNE, Harvard Dataverse, V1, UNF:6:ieRin3K7SN0gnvH6X4CUkw== [fileUNF]
Data and code for replicating results of "Information about Coronavirus Exposure Effects Attitudes Towards Voting Methods" by Alauna Safarpour and Michael Hanmer.
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