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Wielogrupowa eksploracyjna analiza czynnikowa (MGEFA)×Teoria odpowiedzi na pozycje (IRT)×
DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania19811952–1968
TwórcaMuthén & ChristofferssonFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
TypLatent variable / multi-group dimension reductionProbabilistic measurement model
Źródło pierwotneMuthén, 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 ↗
Inne nazwyMGEFA, 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
Pokrewne65
PodsumowanieMulti-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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ScholarGatePorównaj metody: Multi-group EFA · Item Response Theory. Pobrano 2026-06-17 z https://scholargate.app/pl/compare