NOMINATE
NOMINATE — Nominal Three-step Estimation — is the family of spatial scaling procedures developed by Keith Poole and Howard Rosenthal to recover legislators' ideological positions from roll-call votes. Each legislator and the yea and nay outcomes of each vote are placed in a low-dimensional space, and a normal (Gaussian) deterministic utility plus a random shock governs choices. Fitted by maximum likelihood, NOMINATE produces the canonical ideal-point coordinates used to chart polarization across two centuries of the U.S. Congress, with the dynamic DW-NOMINATE variant allowing positions to drift smoothly over time.
방법 전문 읽기
무료 계정으로 로그인하면 이 섹션을 읽을 수 있습니다.
방법 지도
관련 방법들로 이루어진 인접 영역 — 노드를 선택해 살펴보세요.
출처
- Poole, K. T., & Rosenthal, H. (1985). A Spatial Model for Legislative Roll Call Analysis. American Journal of Political Science, 29(2), 357–384. DOI: 10.2307/2111172 ↗
- Poole, K. T., & Rosenthal, H. (1997). Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press. ISBN: 9780195055771
- Carroll, R., Lewis, J. B., Lo, J., Poole, K. T., & Rosenthal, H. (2009). Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap. Political Analysis, 17(3), 261–275. DOI: 10.1093/pan/mpp005 ↗
이 페이지 인용 방법
ScholarGate. (2026, June 22). NOMINATE (Nominal Three-Step Estimation of Spatial Voting). ScholarGate. https://scholargate.app/ko/political-science/nominate-estimation
어떤 방법일까요?
이 방법을 가장 가까운 동류의 방법들과 나란히 놓고 비교해 보세요 — 라이브러리는 책을 펼쳐 놓을 뿐, 선택은 여러분의 몫입니다.
- Ideal Point EstimationPolitical Science↔ 비교
- Roll-Call AnalysisPolitical Science↔ 비교
- Wordfish ScalingPolitical Science↔ 비교