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다집단 탐색적 요인 분석 (Multi-group Exploratory Factor Analysis, MGEFA)×차별 문항 기능(Differential Item Functioning, DIF)×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19811970s–1993
창시자Muthén & ChristofferssonWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
유형Latent variable / multi-group dimension reductionItem-level bias detection
원전Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
별칭MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groupsDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
관련65
요약Multi-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.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.
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