Linganisha mbinu

	Wordscores	Uchanganuzi wa Vipengele Nyingi
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	2003	1985
Mwanzilishi	Michael Laver, Kenneth Benoit, John Garry	Brigitte Escofier, Jérôme Pagès
Aina	Text analysis and dimension reduction	Multiblock dimension reduction
Chanzo asilia	Laver, M., Benoit, K., & Garry, J. (2003). Extracting policy positions from political texts using words as data. American Political Science Review, 97(2), 311-331.	Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835
Majina mbadala	—	MFA, MFA multiple
Zinazohusiana	5	5
Muhtasari	Wordscores is a text-based scaling method developed by Laver, Benoit, and Garry (2003) that estimates the policy positions of political actors based on word frequencies in their texts. By comparing word usage in reference texts of known positions with test texts, the method infers the latent political dimension of any document without requiring manual coding or training data.	Multiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives.