विधियों की तुलना करें

	बहु-समूह अन्वेषणात्मक कारक विश्लेषण (MGEFA)	पुष्टिकारीय कारक विश्लेषण (CFA)
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1981	1969
प्रवर्तक	Muthén & Christoffersson	Karl Gustav Jöreskog
प्रकार	Latent variable / multi-group dimension reduction	Hypothesis-testing latent variable model
मौलिक स्रोत	Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
उपनाम	MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups	CFA, confirmatory FA, measurement model, restricted factor analysis
संबंधित	6	4
सारांश	Multi-group exploratory factor analysis estimates the latent factor structure of a set of items separately within each of two or more groups and then examines whether the discovered structures are consistent across groups. It is used to explore dimensionality before imposing invariance constraints, and to diagnose group-specific factor patterns that would invalidate cross-group comparisons.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.