विधियों की तुलना करें

	अन्वेषणात्मक संरचनात्मक समीकरण मॉडलिंग	आंशिक न्यूनतम वर्ग संरचनात्मक समीकरण मॉडलिंग
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	2009	1985
प्रवर्तक	Tihomir Asparouhov, Bengt Muthén	Herman Wold
प्रकार	Hybrid exploratory-confirmatory factor modeling	Component-based structural equation model
मौलिक स्रोत	Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438.	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
उपनाम	ESEM	PLS-SEM, PLS path modeling
संबंधित	5	5
सारांश	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.	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.