Roll-Call Analysis
Roll-call analysis is the study of recorded legislative votes to recover the structure of political conflict — the ideological positions of legislators, the dimensionality of the issue space, and the cohesion of parties. It encompasses parametric spatial and item-response models that estimate latent ideal points, nonparametric scaling such as optimal classification that maximizes correctly classified votes without distributional assumptions, and descriptive cohesion statistics like the Rice index. Together these tools turn a matrix of yea/nay votes into a map of who agrees with whom and why.
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出典
- Poole, K. T. (2000). Nonparametric Unfolding of Binary Choice Data. Political Analysis, 8(3), 211–237. link ↗
- Clinton, J., Jackman, S., & Rivers, D. (2004). The Statistical Analysis of Roll Call Data. American Political Science Review, 98(2), 355–370. DOI: 10.1017/S0003055404001194 ↗
- Poole, K. T., & Rosenthal, H. (1997). Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press. ISBN: 9780195055771
このページの引用方法
ScholarGate. (2026, June 22). Roll-Call Analysis (Scaling of Legislative Voting). ScholarGate. https://scholargate.app/ja/political-science/roll-call-analysis
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- Ideal Point EstimationPolitical Science↔ 比較
- NOMINATEPolitical Science↔ 比較
- Wordfish ScalingPolitical Science↔ 比較