Comparer des méthodes

	Développement d'échelles multi-groupes	Analyse factorielle confirmatoire multi-groupes (AFC-MG)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1971 (multi-group CFA); 2000 (applied synthesis for scale development)	1971
Auteur d'origine	Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000)	Karl Jöreskog
Type	Scale development / measurement model testing	Measurement model / invariance test
Source fondatrice	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.
Alias	MGSD, cross-group scale development, multi-sample scale development, comparative scale construction	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Apparentées	6	6
Résumé	Multi-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group.	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.