Comparer des méthodes

	Analyse d'items multi-groupes	Fonctionnement différentiel des items (FDI)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1986	1970s–1993
Auteur d'origine	Classical test theory tradition; systematised by Crocker & Algina (1986)	William H. Angoff and colleagues (ETS); systematized by Holland & Wainer
Type	Comparative item-level analysis	Item-level bias detection
Source fondatrice	Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341	Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
Alias	MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis	DIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Apparentées	6	5
Résumé	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.	Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development.