قارن الطرق

	تحليل التكرار	نمذجة المعادلات الهيكلية بالحد الأدنى من المربعات الجزئية
المجال	القياس النفسي	القياس النفسي
العائلة	Latent structure	Latent structure
سنة النشأة	1977	1985
صاحب الطريقة	Albert van den Wollenberg	Herman Wold
النوع	Asymmetric multivariate analysis	Component-based structural equation model
المصدر التأسيسي	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
الأسماء البديلة	RDA	PLS-SEM, PLS path modeling
ذات صلة	5	5
الملخص	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.