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Multidimensional Unfolding×NOMINATE×
ГалузьPolitical SciencePolitical Science
РодинаLatent structureLatent structure
Рік появи20001985
Автор методуKeith T. Poole (nonparametric optimal classification and unfolding)Keith T. Poole and Howard Rosenthal
ТипLatent-space scaling model placing individuals and stimuli in a joint spaceSpatial scaling model of roll-call voting
Основоположне джерелоPoole, K. T. (2000). Nonparametric Unfolding of Binary Choice Data. Political Analysis, 8(3), 211–237. DOI ↗Poole, K. T., & Rosenthal, H. (1985). A Spatial Model for Legislative Roll Call Analysis. American Journal of Political Science, 29(2), 357–384. DOI ↗
Інші назвиUnfolding analysis, Optimal classification, Preference unfolding, Joint-space scalingDW-NOMINATE, W-NOMINATE, Nominal Three-Step Estimation, Poole-Rosenthal scores
Пов'язані53
ПідсумокMultidimensional 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.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.
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ScholarGateПорівняння методів: Multidimensional Unfolding · NOMINATE. Отримано 2026-06-24 з https://scholargate.app/uk/compare