Comparer des méthodes

	Fonctionnement différentiel des items multi-groupes (FDIM)	Tests d'invariance de mesure multigroupe
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1980s-1990s	1971–1993
Auteur d'origine	Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF)	Jöreskog, K. G. (1971); Meredith, W. (1993)
Type	Measurement bias detection	Model comparison / hypothesis testing
Source fondatrice	Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936	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	MG-DIF, multi-group DIF, differential item functioning across groups, multiple-group DIF analysis	measurement invariance, factorial invariance, cross-group invariance, MI testing
Apparentées	6	6
Résumé	Multi-group differential item functioning examines whether test or scale items function equivalently across three or more distinct groups — such as gender, ethnicity, or country — after matching respondents on the underlying trait being measured. Items that behave differently across groups threaten fair measurement and valid score 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.