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The Democracy of Dating: How Political Affiliations Shape Relationship Formation
Published online by Cambridge University Press: 29 July 2020
Abstract
How much does politics affect relationship building? Previous experimental studies have come to vastly different conclusions – ranging from null to truly transformative effects. To explore these differences, this study replicates and extends previous research by conducting five survey experiments meant to expand our understanding of how politics does/does not shape the formation of romantic relationships. We find that people, indeed, are influenced by the politics of prospective partners; respondents evaluate those in the political out-group as being less attractive, less dateable, and less worthy of matchmaking efforts. However, these effects are modest in size – falling almost exactly in between previous study estimates. Our results shine light on a literature that has, up until this point, produced a chasm in study results – a vital task given concerns over growing levels of partisan animus in the USA and the rapidly expanding body of research on affective polarization.
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- © The Experimental Research Section of the American Political Science Association 2020
Footnotes
Author order based on alphabetization; the authors contributed equally to this paper. We wish to thank the National Science Foundation (SES-1657821) for funding support. We are grateful to Matthew Baldwin, Michael Barber, David Broockman, Adam Dynes, Samantha Frazier, Jay Goodliffe, Chris Karpowitz, Jeremy Pope, Julia Stamper and audiences at Brigham Young University, the Mary Lou Fulton Undergraduate Research Conference, the 2018 MPSA, and the 2019 MPSA for their help and feedback on this paper. The studies in this paper were approved by the Brigham Young University (E18118) and University of Virginia (3698) Institutional Review Boards. The data, code, and any additional materials required to replicate all analyses in this article are available at the Journal of Experimental Political Science Dataverse within the Harvard Dataverse Network, at: https://doi.org/10.7910/DVN/24CXA7. The authors have no conflicts of interest to report.
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