Confronta i metodi

	Analisi Fattoriale Esplorativa Multi-Gruppo (MGEFA)	Analisi Fattoriale Confermativa Multi-Gruppo (MG-CFA)
Campo	Psicometria	Psicometria
Famiglia	Latent structure	Latent structure
Anno di origine	1981	1971
Ideatore	Muthén & Christoffersson	Karl Jöreskog
Tipo	Latent variable / multi-group dimension reduction	Measurement model / invariance test
Fonte seminale	Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419.	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.
Alias	MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Correlati	6	6
Sintesi	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.	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.