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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71 to 80 of 214 Results
Jul 13, 2022
Samantha Goerger; Jonathan Mummolo; Sean J. Westwood, 2022, "Replication Data for: Which Police Departments Want Reform? Barriers to Evidence-Based Policymaking", https://doi.org/10.7910/DVN/IDAIUZ, Harvard Dataverse, V1, UNF:6:xfyyuq33gF6SGcljwE4S4Q== [fileUNF]
Replication Data for: Which Police Departments Want Reform? Barriers to Evidence-Based Policymaking
Jul 7, 2022
GOVINDAN, PAVITRA; Pechenkina, Anna O.; Chung, Eunbin, 2022, "Replication Data for: The effect of incentives on motivated numeracy amidst COVID-19", https://doi.org/10.7910/DVN/EAL6AE, Harvard Dataverse, V1, UNF:6:HS+JJ1mCkOCuoiD0Uc8xsw== [fileUNF]
How does political ideology affect the processing of information incongruent with one’s worldview? The disagreement in prior research about this question lies in how one’s ideology interacts with cognitive ability to shape motivated numeracy, or the tendency to misinterpret data to confirm one’s prior beliefs. Our study conceptually replicates and...
Jul 6, 2022
Jessee, Stephen; Albertson, Bethany, 2022, "Replication Data for: Moderator Placement in Survey Experiments: Racial Resentment and the “Welfare” vs. “Assistance to the Poor” Question Wording Experiment", https://doi.org/10.7910/DVN/SZCAZF, Harvard Dataverse, V1, UNF:6:FNPiAv0F2Wla4xF+/p2sEA== [fileUNF]
Data and commented code to replicate results from the article.
Jul 6, 2022
Boudreau, Cheryl; Elmendorf, Christopher S.; MacKenzie, Scott, 2022, "Replication Data for: The Civic Option? Using Experiments to Estimate the Effects of Consuming Information in Local Elections", https://doi.org/10.7910/DVN/KVBIRQ, Harvard Dataverse, V1
Political parties and civic organizations disseminate information to improve citizen decision making in local elections. Do citizens choose to consume such information and, if so, how does it affect their decisions? We conduct a survey experiment during a real-world local election that randomly assigns 1) political party endorsements, 2) a voter gu...
Jun 30, 2022
Verkuyten, Maykel; Gale, Jessica; Yogeeswaran, Kumar; Adelman, Levi, 2022, "Replication Data for: The impact of emotional versus instrumental reasons for dual citizenship on the perceived loyalty and political tolerance of immigrant-origin minorities", https://doi.org/10.7910/DVN/JPSNJQ, Harvard Dataverse, V1, UNF:6:3JK+IKXAcMbTaILqA6KjDg== [fileUNF]
An increasing number of states permit dual citizenship, but there are public concerns about divided loyalties of dual citizens which might lead to intolerance of their political rights. We propose and test whether these concerns depend on the emotional versus instrumental reasons immigrants express for acquiring their second, host society citizensh...
Jun 30, 2022
Gothreau, Claire Malone; Alvarez, Amanda Milena; Friesen, Amanda, 2022, "Replication Data for: Objectified and Dehumanized: Does Objectification Impact Perceptions of Women Political Candidates?", https://doi.org/10.7910/DVN/Y0WRNC, Harvard Dataverse, V1, UNF:6:Wn0YLHh82UHOt9vNE4ZWXg== [fileUNF]
All data and replication files need to reproduce tables, analyses, and data visualization associated with: Gothreau, C., Alvarez, A.M., and Friesen, A. Objectified and Dehumanized: Does Objectification Impact Perceptions of Women Political Candidates? Journal of Experimental Political Science.
Jun 28, 2022
Camp, Matthew; Schwam-Baird, Michael; Zelizer, Adam, 2022, "Replication Data for: The Limits of Lobbying: Null Effects from Four Field Experiments in Two State Legislatures", https://doi.org/10.7910/DVN/PKZNPC, Harvard Dataverse, V1, UNF:6:2LUfwFD9ldmiiaPzWE9zSw== [fileUNF]
It is widely thought that lobbyists exert influence over legislators' policy positions and, as a result, over policy outcomes. One mechanism of influence is the provision of policy expertise. Yet, there is little credible empirical evidence that lobbyists' expertise influences legislative outcomes. Across four experiments fielded with three lobbyis...
Jun 22, 2022
Adida, Claire; Cottiero, Christina; Falabella, Leonardo; Gotti, Isabel; Ijaz, ShahBano; Phillips, Gregoire; Seese, Michael, 2022, "Replication Data for: Taking the Cloth: Social norms and elite cues increase support for masks among white Evangelical Americans", https://doi.org/10.7910/DVN/YNXJZO, Harvard Dataverse, V1, UNF:6:XNgBYbE6PWbmUHrMNFi5eA== [fileUNF]
Replication materials for "Taking the Cloth: Social norms and elite cues increase support for masks among white Evangelical Americans." Abstract: During the COVID-19 pandemic, the CDC and the WHO have recommended face masks as key to reducing viral transmission. Yet, in the United States, as the first wave erupted in the Summer of 2020, one fifth o...
Jun 21, 2022
Kling, Daniel; Stratmann, Thomas, 2022, "Replication Data for: Large-Scale Evidence for the Effectiveness of Partisan GOTV Robo Calls", https://doi.org/10.7910/DVN/DMJ7EA, Harvard Dataverse, V1
We document the effectiveness of automated (robo) calls for increasing voter participation in contrast to most published research which finds little or no effect from automated calls. We establish this finding in a large field experiment which mimics campaign behavior with a targeted, partisan get-out-the-vote campaign. Our findings show that acros...
May 12, 2022
Giovanna Invernizzi; Mohamed, Ahmed Ezzeldin, 2022, "Replication Data for "Trust Nobody: How Voters React to Conspiracy Theories"", https://doi.org/10.7910/DVN/OSEXBV, Harvard Dataverse, V1
These are replication files for "Trust Nobody: How Voters React to Conspiracy Theories". This set of files includes the analyzed dataset, R code for replicating the main results and those reported in the supplementary material, a codebook for the main variables, log files, and a ReadMe file.
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