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| Ideological Constraint Analysis× | Political Ideology Scaling× | |
|---|---|---|
| 분야 | 정치심리학 | 정치심리학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1964 | 1985 |
| 창시자≠ | Philip E. Converse | Keith Poole & Howard Rosenthal |
| 유형≠ | Belief-system structure analysis | Latent ideal-point model |
| 원전≠ | Converse, P. E. (1964). The nature of belief systems in mass publics. In D. E. Apter (Ed.), Ideology and Discontent (pp. 206-261). New York: Free Press. ISBN: 9780029006702 | Poole, K. T., & Rosenthal, H. (1985). A spatial model for legislative roll call analysis. American Journal of Political Science, 29(2), 357-384. DOI ↗ |
| 별칭≠ | Belief System Constraint, Attitude Constraint Analysis, Issue Consistency Analysis | NOMINATE, Ideal Point Estimation, IRT Ideology Scaling, Spatial Voting Scaling |
| 관련 | 4 | 4 |
| 요약≠ | Ideological constraint analysis measures the degree to which an individual's or a public's political attitudes hang together in a coherent, predictable structure, the extent to which knowing a person's position on one issue lets you predict their positions on others. Introduced by Converse (1964) as the defining feature of a belief system, it is assessed through inter-item correlations, factor/latent-dimension models, and constraint indices. | Political ideology scaling estimates actors' positions on one or more latent ideological dimensions from their observed choices, most often legislators' roll-call votes, but also survey responses and donations. The dominant methods are Poole and Rosenthal's NOMINATE (1985) and the Bayesian item-response-theory (IRT) approach of Clinton, Jackman and Rivers (2004), which place legislators and the proposals they vote on in a common spatial map. |
| ScholarGate데이터셋 ↗ |
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