Comparer des méthodes

	Analyse de Redondance	Modélisation par équations structurelles par moindres carrés partiels
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1977	1985
Auteur d'origine	Albert van den Wollenberg	Herman Wold
Type	Asymmetric multivariate analysis	Component-based structural equation model
Source fondatrice	van den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219.	Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
Alias	RDA	PLS-SEM, PLS path modeling
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.	PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.