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多群体项目反应理论 (MG-IRT)×多群体拉斯奇模型×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1990s1960 (Rasch); 1980s–1990s (multi-group extensions)
提出者Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990sGeorg Rasch (single-group); extended to multi-group applications by Fischer, Molenaar, and others
类型Latent trait / measurement invarianceItem response model / measurement invariance test
开创性文献Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191Fischer, G. H. & Molenaar, I. W. (Eds.) (1995). Rasch Models: Foundations, Recent Developments, and Applications. Springer. ISBN: 978-0387944296
别名MG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groupsMG-Rasch, Rasch measurement invariance, multi-group 1PL IRT, cross-group Rasch analysis
相关66
摘要Multi-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level.The multi-group Rasch model fits the one-parameter logistic item response model simultaneously across two or more distinct groups, testing whether item difficulty parameters are invariant across groups. It is the primary psychometric tool for establishing that a scale measures the same latent trait with the same metric in each group, a prerequisite for meaningful score comparisons.
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ScholarGate方法对比: Multi-group item response theory · Multi-group Rasch model. 于 2026-06-18 检索自 https://scholargate.app/zh/compare