Módszerek összehasonlítása

	Multicsoportos konfirmatorikus faktorelemzés (MG-CFA)	Többcsoportos feltáró faktorelemzés (MGEFA)
Tudományterület	Pszichometria	Pszichometria
Módszercsalád	Latent structure	Latent structure
Keletkezés éve	1971	1981
Megalkotó	Karl Jöreskog	Muthén & Christoffersson
Típus	Measurement model / invariance test	Latent variable / multi-group dimension reduction
Alapmű	Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.	Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419.
Alternatív nevek	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA	MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups
Kapcsolódó	6	6
Összefoglaló	Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.	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.