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多群体普遍性理论×多群体克朗巴赫 Alpha 系数×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1963–20011951 (alpha); multi-group application from 1980s onward
提出者Lee J. Cronbach and colleagues (Cronbach, Gleser, Nanda, Rajaratnam), extended to multi-group contexts by Brennan and othersLee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research
类型Variance component / reliability generalizationReliability / internal consistency comparison
开创性文献Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗
别名MG G-theory, multi-group G-theory, generalizability theory across groups, cross-group G-studygroup-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha
相关64
摘要Multi-group generalizability theory (MG G-theory) extends classical generalizability theory to estimate and compare variance components — attributable to persons, items, raters, occasions, and their interactions — simultaneously across two or more defined groups. It reveals whether a measurement procedure is equally reliable and generalizable for every group studied, supporting fair and equitable score interpretation.Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons.
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  3. PUBLISHED

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ScholarGate方法对比: Multi-group Generalizability Theory · Multi-group Cronbach's alpha. 于 2026-06-18 检索自 https://scholargate.app/zh/compare