The promises and pitfalls of using panel data to understand individual belief change

Bibliographic Data

ID6337164
AuthorsTurgut Keskintürk (0000-0002-0270-0006, Department of Sociology Duke University Durham North Carolina USA), Pablo Bello (0000-0003-2343-9617, Department of Sociology Duke University Durham North Carolina USA), Vaisey (0000-0001-9506-7520, Department of Sociology Duke University Durham North Carolina USA), Stephen Vaisey
Year2025
Publication date2025-07-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Psychology (JOURNAL)
Journal identifiersISSN: 0162-895X • E-ISSN: 1467-9221
PublisherWiley (PUBLISHER • GB)
DOI10.1111/pops.70056
OpenAlexW4412043091
LanguageEN
Citations received2
References cited29

We investigate whether studies on political belief change can identify change trajectories at the individual level. Using simulations and case studies, we propose a grid‐search framework that allows researchers to evaluate the extent to which their target estimates generalize to their study population. We use simulated datasets to estimate plausible values for how many people changed, how much they changed, and who changed, based on observed response trajectories. Our results suggest that researchers should think carefully about the conditions under which they may make claims about belief change at the individual level. To guide substantive theory‐building, we propose a concise diagnostic routine researchers can use to translate their claims into a set of plausible alternatives and evaluate potential generative processes. We provide an R package to help researchers implement this procedure in their own work

Econometrics · Economics · Panel data · Psychology · Social and Cultural Dynamics · Social Capital and Networks · Social Psychology · Urban, Neighborhood, and Segregation Studies

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