Multidimensional Unfolding
Multidimensional unfolding places both individuals and the stimuli they evaluate — candidates, parties, bills — in a single joint low-dimensional space, so that each person's preferences are explained by their proximity to the stimuli. In political science it underlies Keith Poole's nonparametric optimal classification of roll-call votes and the unfolding of thermometer ratings and rank orders, recovering legislators' and bills' positions from nothing but the pattern of choices. Unlike correlation-based scaling, unfolding treats preference as a single-peaked function of distance: you like what is close to you and dislike what is far.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- Poole, K. T. (2000). Nonparametric Unfolding of Binary Choice Data. Political Analysis, 8(3), 211–237. DOI: 10.1093/oxfordjournals.pan.a029814 ↗
- Poole, K. T. (2005). Spatial Models of Parliamentary Voting. Cambridge: Cambridge University Press. ISBN: 9780521851947
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 22). Multidimensional Unfolding of Preferences and Roll Calls. ScholarGate. https://scholargate.app/sw/political-science/multidimensional-unfolding
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- Ideal Point EstimationPolitical Science↔ linganisha
- Multilevel ModelingTakwimu za Utafiti↔ linganisha
- NOMINATEPolitical Science↔ linganisha
- Roll-Call AnalysisPolitical Science↔ linganisha
- Survey ExperimentPolitical Science↔ linganisha
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