विधियों की तुलना करें

	अतिरेक विश्लेषण	अन्वेषणात्मक संरचनात्मक समीकरण मॉडलिंग
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1977	2009
प्रवर्तक	Albert van den Wollenberg	Tihomir Asparouhov, Bengt Muthén
प्रकार	Asymmetric multivariate analysis	Hybrid exploratory-confirmatory factor modeling
मौलिक स्रोत	van den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219.	Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438.
उपनाम	RDA	ESEM
संबंधित	5	5
सारांश	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.	Exploratory Structural Equation Modeling (ESEM) is a hybrid approach that combines exploratory factor analysis (EFA) with confirmatory factor analysis (CFA) and path modeling, developed by Asparouhov and Muthén (2009). ESEM relaxes restrictive zero-loading assumptions of traditional CFA, allowing all indicators to load on all factors, which can reveal cross-factor complexity and improve model fit while retaining the ability to test substantive structural theories.