Methoden vergelijken

	Multi-groep metinginvariantie testen	Multi-Group Confirmatory Factor Analysis (MG-CFA)
Vakgebied	Psychometrie	Psychometrie
Familie	Latent structure	Latent structure
Jaar van ontstaan	1971–1993	1971
Grondlegger	Jöreskog, K. G. (1971); Meredith, W. (1993)	Karl Jöreskog
Type	Model comparison / hypothesis testing	Measurement model / invariance test
Oorspronkelijke bron	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.	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.
Aliassen	measurement invariance, factorial invariance, cross-group invariance, MI testing	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Verwant	6	6
Samenvatting	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 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.