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计算机化自适应测验测量不变性×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1990s–2000s1971–1993
提出者Building on Meredith (1993) for invariance and Lord (1980) for adaptive testingJöreskog, K. G. (1971); Meredith, W. (1993)
类型Measurement equivalence testing in adaptive testing contextsModel comparison / hypothesis testing
开创性文献Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946Vandenberg, 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CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CATmeasurement invariance, factorial invariance, cross-group invariance, MI testing
相关66
摘要Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.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: Computerized adaptive test measurement invariance · Multi-group measurement invariance. 于 2026-06-19 检索自 https://scholargate.app/zh/compare