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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
- 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
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