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多组探索性因子分析 (MGEFA)×项目反应理论 (IRT)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19811952–1968
提出者Muthén & ChristofferssonFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
类型Latent variable / multi-group dimension reductionProbabilistic measurement model
开创性文献Muthén, 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 ↗
别名MGEFA, 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
相关65
摘要Multi-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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ScholarGate方法对比: Multi-group EFA · Item Response Theory. 于 2026-06-18 检索自 https://scholargate.app/zh/compare