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多群体 McDonald's Omega×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1999 (multi-group extension: 2000s–2010s)1971–1993
提出者Roderick P. McDonaldJöreskog, K. G. (1971); Meredith, W. (1993)
类型Reliability coefficient (multi-group extension)Model comparison / hypothesis testing
开创性文献McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408Vandenberg, 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multi-group omega, omega across groups, group-comparative omega, MG-omegameasurement invariance, factorial invariance, cross-group invariance, MI testing
相关46
摘要Multi-group McDonald's omega estimates and compares the reliability of a scale across two or more distinct groups. Rooted in confirmatory factor analysis, it uses the factor loadings and unique variances from each group's measurement model to compute omega, then tests whether reliability is statistically equivalent across groups.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 McDonald's omega · Multi-group measurement invariance. 于 2026-06-20 检索自 https://scholargate.app/zh/compare