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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PNG Image - 7.4 KB - MD5: 828c6209685f45f80d4417e217d4f8bb
R Syntax - 13.0 KB - MD5: 31fa8a4f7287744c9d081285841b0e66
File with "helper functions" to be sourced into analysis file
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Log file with successful replication of results
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Main text/manuscript
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README file describing the analysis file, function file, data and organization, and computing environment.
May 21, 2025
Ferrari, Diogo; Brianna Smith, 2025, "Replication Data for: Status Threat, Partisanship, and Voters' Conservative Shift toward Right-wing Candidates", https://doi.org/10.7910/DVN/AUMLXM, Harvard Dataverse, V1
Past research indicates that support for conservatism increases when individuals perceive threat to their group's social status—i.e., prestige and respect. However, the causal link between status threat and increased electoral support for conservative candidates has not been established. Most prior studies rely on observational data, and it remains...
Python Source Code - 12.0 KB - MD5: 37e31d3fdd8b8bcf6db69349a1ac1667
Python Source Code - 8.1 KB - MD5: 01d30f259e1e9bd2415f5e080cb9bec6
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