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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21 to 30 of 3,505 Results
R Syntax - 16.6 KB - MD5: c6d00405121a5f4ad5500f0db6a55a7d
R script used to analyze experiment data.
Tabular Data - 23.0 KB - 10 Variables, 626 Observations - UNF:6:1NfxbQw8BtBd5gy1+4gASg==
Dataset containing audit experiment results.
Tabular Data - 4.0 KB - 11 Variables, 24 Observations - UNF:6:CUvjmFoZkmf9vmiPMycLGA==
LaTeX - 510 B - MD5: f1f5b934f14ff8ab427ef671b5e53d0e
Adobe PDF - 123.3 KB - MD5: 1bc6a01ceaf434435710feb9ee2616a5
Replication documentation.
Jun 3, 2025
Balcells, Laia; Martínez, Sergi; Valentim, Vicente; vanderWilden, Ethan, 2025, "Replication Data for: Re-stigmatizing the radical right: A one-way street?", https://doi.org/10.7910/DVN/QPTLBA, Harvard Dataverse, V1
Radical-right behavior and support for radical-right parties have increased across many countries in recent decades. A growing body of research has argued that, similar to the spread of other extremist behaviors, this is due to an erosion of political norms. This suggests that re-stigmatizing radical-right parties might be an effective way of count...
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