পদ্ধতির তুলনা করুন

	NOMINATE	Wordfish Scaling
ক্ষেত্র	Political Science	Political Science
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1985	2008
প্রবর্তক	Keith T. Poole and Howard Rosenthal	Jonathan Slapin and Sven-Oliver Proksch
ধরন	Spatial scaling model of roll-call voting	Unsupervised latent-position model for word-count data
মৌলিক উৎস	Poole, K. T., & Rosenthal, H. (1985). A Spatial Model for Legislative Roll Call Analysis. American Journal of Political Science, 29(2), 357–384.	Slapin, J. B., & Proksch, S.-O. (2008). A Scaling Model for Estimating Time-Series Party Positions from Texts. American Journal of Political Science, 52(3), 705–722.
অপর নাম	DW-NOMINATE, W-NOMINATE, Nominal Three-Step Estimation, Poole-Rosenthal scores	Wordfish text scaling, Poisson scaling of texts, Unsupervised text scaling, Wordfish position estimation
সম্পর্কিত	3	4
সারসংক্ষেপ	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.	Wordfish scaling is an unsupervised text-as-data method that estimates a single latent position for each political document — a party manifesto, a legislative speech, a press release — directly from its word frequencies, without any reference texts or hand coding. Introduced by Slapin and Proksch in 2008, it models word counts as draws from a Poisson distribution whose rate depends on a document position and word-specific parameters, recovering, for example, a left–right ordering of parties purely from how often each word appears in each text.