Comparer des méthodes

	Analyse de Redondance	Wordscores
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1977	2003
Auteur d'origine	Albert van den Wollenberg	Michael Laver, Kenneth Benoit, John Garry
Type	Asymmetric multivariate analysis	Text analysis and dimension reduction
Source fondatrice	van den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219.	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.
Alias	RDA	—
Apparentées	5	5
Résumé	Redundancy Analysis (RDA) is a multivariate technique developed by van den Wollenberg (1977) that combines multiple regression and principal component analysis. RDA finds linear combinations of predictor variables that best predict variation in response variables, making it ideal for understanding how sets of predictors collectively explain multivariate outcomes.	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.