Voting Experiences, Perceptions of Fraud, and Voter Confidence
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DOI: 10.1111/ssqu.12940
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References listed on IDEAS
- Lonna Rae Atkeson & R. Michael Alvarez & Thad E. Hall & J. Andrew Sinclair, 2014. "Balancing Fraud Prevention and Electoral Participation: Attitudes Toward Voter Identification," Social Science Quarterly, Southwestern Social Science Association, vol. 95(5), pages 1381-1398, December.
- Cranmer, Skyler J. & Gill, Jeff, 2013. "We Have to Be Discrete About This: A Non-Parametric Imputation Technique for Missing Categorical Data," British Journal of Political Science, Cambridge University Press, vol. 43(2), pages 425-449, April.
- Zhou, Xiang, 2019. "Hierarchical Item Response Models for Analyzing Public Opinion," Political Analysis, Cambridge University Press, vol. 27(4), pages 481-502, October.
- James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
Citations
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- Geoffrey Layman & Frances Lee & Christina Wolbrecht, 2023. "Political Parties and Loser’s Consent in American Politics," The ANNALS of the American Academy of Political and Social Science, , vol. 708(1), pages 164-183, July.
- Mitchell Linegar & Betsy Sinclair & Sander van der Linden & R. Michael Alvarez, 2024. "Prebunking Elections Rumors: Artificial Intelligence Assisted Interventions Increase Confidence in American Elections," Papers 2410.19202, arXiv.org.
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