Promoting Reproducibility and Replicability in Political Science

2024/01/01 by Abel Brodeur, Kevin Esterling, Jörg Peters +12 · 1 voice · 3 citations
Decision Sciences · Social Sciences · #Evaluation and Performance Assessment #Political Science Research and Education #scientometrics and bibliometrics research

paper · pdf · doi:10.1177/20531680241233439

openalex publication_date 2024/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/17

Abstract

This article reviews and summarizes current reproduction and replication practices in political science. We first provide definitions for reproducibility and replicability. We then review data availability policies for 28 leading political science journals and present the results from a survey of editors about their willingness to publish comments and replications. We discuss new initiatives that seek to promote and generate high-quality reproductions and replications. Finally, we make the case for standards and practices that may help increase data availability, reproducibility, and replicability in political science.

Citations

• Estimating the reproducibility of psychological science
• False-Positive Psychology
• Model Uncertainty and Robustness
• Transparency, Reproducibility, and the Credibility of Economics Research
• Declaring and Diagnosing Research Designs
• Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty

Cited by

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Discussions

• Absolutely! Code+data availability is the norm in top journals (doi.org/10.1177/2053...). Some of them also check that the code does produce the presented results, and it brings a lot (archive.is/3YsT [bsky, 1 points, 1 comments]

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