Porovnat metody

	Testování měření invariance napříč skupinami	Vícestupňová exploratorní faktorová analýza (MGEFA)
Obor	Psychometrika	Psychometrika
Rodina	Latent structure	Latent structure
Rok vzniku	1971–1993	1981
Tvůrce	Jöreskog, K. G. (1971); Meredith, W. (1993)	Muthén & Christoffersson
Typ	Model comparison / hypothesis testing	Latent variable / multi-group dimension reduction
Původní zdroj	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.
Další názvy	measurement invariance, factorial invariance, cross-group invariance, MI testing	MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups
Příbuzné	6	6
Shrnutí	Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.	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.