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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1 to 10 of 546 Results
Apr 16, 2024
Moniz, Philip; Ramirez-Perez, Rodrigo; Hartman, Erin; Jessee, Stephen, 2024, "Replication Data for: Generalizing toward Nonrespondents: Effect Estimates in Survey Experiments Are Broadly Similar for Eager and Reluctant Participants", https://doi.org/10.7910/DVN/N15MSX, Harvard Dataverse, V1, UNF:6:yg3ZxVeDkBrtlFjBV6dhIQ== [fileUNF]
Survey experiments on probability samples are a popular method for investigating population-level causal questions due to their strong internal validity. However, lower survey response rates and an increased reliance on online convenience samples raise questions about the general...
Apr 2, 2024
Bisbee, James, 2024, "Replication Data for: Synthetic Replacements for Human Survey Data? The Perils of Large Language Models", https://doi.org/10.7910/DVN/VPN481, Harvard Dataverse, V1
Large Language Models (LLMs) offer new research possibilities for social scientists, but their potential as “synthetic data" is still largely unknown. In this paper, we investigate how accurately the popular LLM ChatGPT can recover public opinion, prompting the LLM to adopt diffe...
Apr 1, 2024
Esterling, Kevin; Park, Ju Yeon, 2024, "Replication Data for: Flexible Estimation of Policy Preferences for Witnesses in Committee Hearings", https://doi.org/10.7910/DVN/ZU5QTG, Harvard Dataverse, V1
Theoretical expectations regarding communication patterns between legislators and outside agents, such as lobbyists, agency officials or policy experts, often depend on the relationship between legislators' and agents' preferences. However, legislators and non-elected outside age...
Mar 23, 2024
Leavitt, Thomas; Rivera-Burgos, Viviana, 2024, "Replication Data for: Audit experiments of racial discrimination and the importance of symmetry in exposure to cues", https://doi.org/10.7910/DVN/R3JGWS, Harvard Dataverse, V1
Researchers are often interested in whether discrimination on the basis of racial cues persists above and beyond discrimination on the basis of non-racial attributes that decision-makers — e.g., employers, legislators, etc. — infer from such cues. We show that existing audit expe...
Feb 27, 2024
Rainey, Carlisle, 2024, "Replication Data for: "Estimators for Topic-Sampling Designs"", https://doi.org/10.7910/DVN/YBV9Z8, Harvard Dataverse, V1
When researchers design an experiment, they usually hold potentially relevant features of the experiment constant. We call these details the “topic” of the experiment. For example, researchers studying the impact of party cues on attitudes must inform respondents of the parties’...
Feb 17, 2024
Lal, Apoorva; Lockhart, Mac; Xu, Yiqing; Zu, Ziwen, 2024, "Replication Data for: How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies", https://doi.org/10.7910/DVN/MM5THZ, Harvard Dataverse, V1, UNF:6:CArWSnTqawmggTYJ6nsFeQ== [fileUNF]
Instrumental variable (IV) strategies are widely used in political science to establish causal relationships, but the identifying assumptions required by an IV design are demanding, and assessing their validity remains challenging. In this paper, we replicate 67 articles publishe...
Dec 20, 2023
Fukumoto, Kentaro, 2023, "Replication Data for: Normal Mode Copulas for Nonmonotonic Dependence", https://doi.org/10.7910/DVN/X94ITA, Harvard Dataverse, V1
Copulas are helpful in studying joint distributions of two variables, in particular, when confounders are unobserved. However, most conventional copulas cannot model joint distributions where one variable does not increase or decrease in the other in a monotonic manner. For insta...
Dec 14, 2023
Mauerer, Ingrid; Tutz, Gerhard, 2023, "Replication Data for: Vote Choices and Valence: Intercepts and Alternate Specifications", https://doi.org/10.7910/DVN/SKWTGS, Harvard Dataverse, V1
Valence is a crucial concept in studying spatial voting and party competition. The widely adopted approach is to rely on intercepts of vote choice models and to infer, based on their size and direction, how valence affects party strategies in empirical settings. The approach suff...
Dec 14, 2023
Slough, Tara, 2023, "Replication Data for: Making a Difference: The Consequences of Electoral Experiments", https://doi.org/10.7910/DVN/1UWD3M, Harvard Dataverse, V1, UNF:6:xV+QAnIELKJwLNk109odtA== [fileUNF]
While experiments on elections represent a popular tool in social science, the possibility that experimental interventions could affect who wins office remains a central ethical concern. I formally characterize electoral experimental designs to derive an upper bound on aggregate...
Dec 11, 2023
Lai, Angela; Brown, Megan A.; Bisbee, James; Tucker, Joshua A.; Nagler, Jonathan; Bonneau, Richard, 2023, "Replication Data for: Estimating the Ideology of YouTube Videos", https://doi.org/10.7910/DVN/WZZFTW, Harvard Dataverse, V1
Abstract: We present a method for estimating the ideology of political YouTube videos. The subfield of estimating ideology as a latent variable has often focused on traditional actors such as legislators while more recent work has used social media data to estimate the ideology o...
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