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多组别项目功能差异 (MG-DIF)×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1980s-1990s1971–1993
提出者Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF)Jöreskog, K. G. (1971); Meredith, W. (1993)
类型Measurement bias detectionModel comparison / hypothesis testing
开创性文献Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936Vandenberg, 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-DIF, multi-group DIF, differential item functioning across groups, multiple-group DIF analysismeasurement invariance, factorial invariance, cross-group invariance, MI testing
相关66
摘要Multi-group differential item functioning examines whether test or scale items function equivalently across three or more distinct groups — such as gender, ethnicity, or country — after matching respondents on the underlying trait being measured. Items that behave differently across groups threaten fair measurement and valid 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 Differential Item Functioning · Multi-group measurement invariance. 于 2026-06-18 检索自 https://scholargate.app/zh/compare