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多群体拉斯奇模型×多群体测量不变性检验×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1960 (Rasch); 1980s–1990s (multi-group extensions)1971–1993
提出者Georg Rasch (single-group); extended to multi-group applications by Fischer, Molenaar, and othersJöreskog, K. G. (1971); Meredith, W. (1993)
类型Item response model / measurement invariance testModel comparison / hypothesis testing
开创性文献Fischer, G. H. & Molenaar, I. W. (Eds.) (1995). Rasch Models: Foundations, Recent Developments, and Applications. Springer. ISBN: 978-0387944296Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗
别名MG-Rasch, Rasch measurement invariance, multi-group 1PL IRT, cross-group Rasch analysismeasurement invariance, factorial invariance, cross-group invariance, MI testing
相关66
摘要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.Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.
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ScholarGate方法对比: Multi-group Rasch model · Multi-group measurement invariance. 于 2026-06-19 检索自 https://scholargate.app/zh/compare