Political Analysis is the official journal of the Society for Political Methodology. We publish articles that provide original and significant advances in the general area of political methodology, including both quantitative and qualitative methodological approaches.
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Replication data for: Computer-Assisted Text Analysis for Comparative Politics
Aug 4, 2025
Lucas, Christopher; Nielsen, Richard A.; Roberts, Margaret E.; Stewart, Brandon M.; Storer, Alex; Tingley, Dustin, 2015, "Replication data for: Computer-Assisted Text Analysis for Comparative Politics", https://doi.org/10.7910/DVN/MPU019, Harvard Dataverse, V1
Recent advances in research tools for the systematic analysis of textual data are enabling exciting new research throughout the social sciences. For comparative politics, scholars who are often interested in non-English and possibly multilingual textual datasets, these advances may be difficult to access. This article discusses practical issues tha...
Replication Data for: "Measuring the Quality of Answers in Political Q\&As with Large Language Models"
Jun 12, 2025
Morrier, Jacob; Alvarez, R. Michael, 2025, "Replication Data for: "Measuring the Quality of Answers in Political Q\&As with Large Language Models"", https://doi.org/10.7910/DVN/MXNQ7F, Harvard Dataverse, V1
This package includes the data and code required to reproduce the results presented in "Measuring the Quality of Answers in Political Q&As with Large Language Models" (Alvarez and Morrier, 2025).
Replication Data for: "Balancing Precision and Retention in Experimental Design"
Jun 9, 2025
Diaz, Gustavo; Rossiter, Erin, 2025, "Replication Data for: "Balancing Precision and Retention in Experimental Design"", https://doi.org/10.7910/DVN/LMFOBS, Harvard Dataverse, V1, UNF:6:fiqoLYq1GxfY7JqiPEYzHA== [fileUNF]
Replication Materials for "Balancing Precision and Retention in Experimental Design."
Replication Data for: Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict
Jun 3, 2025
Randahl, David; Williams, Jonathan P.; Hegre, Håvard, 2025, "Replication Data for: Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict", https://doi.org/10.7910/DVN/BZC110, Harvard Dataverse, V1
This package reproduces the results reported in the paper "Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict" by David Randahl, Jonathan P. Williams, and Håvard Hegre. The package includes the code and data necessary to replicate the analysis and results presented in the paper. All results are replicated by running the `run.sh`...
Replication Data for: Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models
Replication Data for: Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models
May 22, 2025
Lipman, Erin; Moser, Scott; Rodriguez, Abel, 2025, "Replication Data for: Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models", https://doi.org/10.7910/DVN/KUEXLW, Harvard Dataverse, V1
This directory contains the code necessary to reproduce all the figures in the paper "Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models" by Erin Lipman, Scott Moser and Abel Rodriguez, which is to appear in the journal Political Analysis. The code implements the Markov chain Monte Carlo algorithm des...
Replication Data for: DECOMPOSING NETWORK INFLUENCE: SOCIAL INFLUENCE REGRESSION
May 20, 2025
Minhas, Shahryar; Hoff,Peter, 2025, "Replication Data for: DECOMPOSING NETWORK INFLUENCE: SOCIAL INFLUENCE REGRESSION", https://doi.org/10.7910/DVN/VTFDX6, Harvard Dataverse, V1
Understanding network influence and its determinants are key challenges in political science and network analysis. Traditional latent variable models position actors within a social space based on network dependencies but often do not elucidate the underlying factors driving these interactions. To overcome this limitation, we propose the Social Inf...
Replication Data for: Detecting Formatted Text: Data Collection Using Computer Vision
Replication Data for: Detecting Formatted Text: Data Collection Using Computer Vision
May 15, 2025
Colner, Jonathan, 2025, "Replication Data for: Detecting Formatted Text: Data Collection Using Computer Vision", https://doi.org/10.7910/DVN/8BE6M9, Harvard Dataverse, V1
Research in political science has begun to explore how to use large language and object detection models to analyze text and visual data. However, few studies have explored how to use these tools for data extraction. Instead, researchers interested in extracting text from poorly formatted sources typically rely on optical character recognition and...
Replication Data for: An Expert-Sourced Measure of Judicial Ideology
Apr 21, 2025
Cope, Kevin, 2025, "Replication Data for: An Expert-Sourced Measure of Judicial Ideology", https://doi.org/10.7910/DVN/KZ5BJF, Harvard Dataverse, V1
This packages replicates PA-2024-0078.R1 - An Expert-Sourced Measure of Judicial Ideology.
Replication Data for: “Fixed Effects, Lagged Dependent Variables, and Bracketing: Cautionary Remarks” (Demetrescu, Frondel, Tomberg, and Vance, 2025)
Apr 21, 2025
Tomberg, Lukas, 2025, "Replication Data for: “Fixed Effects, Lagged Dependent Variables, and Bracketing: Cautionary Remarks” (Demetrescu, Frondel, Tomberg, and Vance, 2025)", https://doi.org/10.7910/DVN/JWZ75L, Harvard Dataverse, V1
This folder contains the code necessary to replicate the results in “Fixed Effects, Lagged Dependent Variables, and Bracketing: Cautionary Remarks” (Demetrescu, Frondel, Tomberg, and Vance, 2025).
Replication Data for: Accessibility and Equity in the Research Process: Gender Bias in Elite Interview Recruitment
Apr 18, 2025
Kenney, Margaret; Salchak, John, 2025, "Replication Data for: Accessibility and Equity in the Research Process: Gender Bias in Elite Interview Recruitment", https://doi.org/10.7910/DVN/8APIHS, Harvard Dataverse, V1, UNF:6:YGZcvHvV/nJ9ijjqGf2MSQ== [fileUNF]
Researchers’ racial and gender identities influence their outcomes in academia and the field of political science. This letter interrogates how researcher identity affects the research process: specifically elite interview recruitment. Within an ongoing re- search project, we embed a pre-registered audit experiment randomizing the gender of the res...
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