Salīdzināt metodes

	Daudzgrupu mērījumu invarianču testēšana	Daudzgrupas apstiprinošā faktoru analīze (MG-CFA)
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1971–1993	1971
Autors	Jöreskog, K. G. (1971); Meredith, W. (1993)	Karl Jöreskog
Tips	Model comparison / hypothesis testing	Measurement model / invariance test
Pirmavots	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.
Citi nosaukumi	measurement invariance, factorial invariance, cross-group invariance, MI testing	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Saistītās	6	6
Kopsavilkums	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.