Salīdzināt metodes

	Daudzgrupu vienumu analīze	Daudzgrupas apstiprinošā faktoru analīze (MG-CFA)
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1986	1971
Autors	Classical test theory tradition; systematised by Crocker & Algina (1986)	Karl Jöreskog
Tips	Comparative item-level analysis	Measurement model / invariance test
Pirmavots	Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341	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	MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Saistītās	6	6
Kopsavilkums	Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.	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.