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Anàlisi Factorial Exploratòria Multigrup (MGEFA)×Teoria de Resposta a l'Ítem (TRI)×
CampPsicometriaPsicometria
FamíliaLatent structureLatent structure
Any d'origen19811952–1968
Autor originalMuthén & ChristofferssonFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
TipusLatent variable / multi-group dimension reductionProbabilistic measurement model
Font seminalMuthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
ÀliesMGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groupsIRT, latent trait theory, item characteristic curve theory, modern test theory
Relacionats65
ResumMulti-group exploratory factor analysis estimates the latent factor structure of a set of items separately within each of two or more groups and then examines whether the discovered structures are consistent across groups. It is used to explore dimensionality before imposing invariance constraints, and to diagnose group-specific factor patterns that would invalidate cross-group comparisons.Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.
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ScholarGateCompara mètodes: Multi-group EFA · Item Response Theory. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare