Comparer des méthodes

	Alpha de Cronbach multi-groupes	Tests d'invariance de mesure multigroupe
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1951 (alpha); multi-group application from 1980s onward	1971–1993
Auteur d'origine	Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research	Jöreskog, K. G. (1971); Meredith, W. (1993)
Type	Reliability / internal consistency comparison	Model comparison / hypothesis testing
Source fondatrice	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	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	group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha	measurement invariance, factorial invariance, cross-group invariance, MI testing
Apparentées	4	6
Résumé	Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons.	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.