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多群測定不変性検定×多群同時確認的因子分析(MG-CFA)×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年1971–19931971
提唱者Jöreskog, K. G. (1971); Meredith, W. (1993)Karl Jöreskog
種類Model comparison / hypothesis testingMeasurement model / invariance test
原典Vandenberg, 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 ↗Vandenberg, 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 ↗
別名measurement invariance, factorial invariance, cross-group invariance, MI testingMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
関連66
概要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.Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.
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ScholarGate手法を比較: Multi-group measurement invariance · Multi-group confirmatory factor analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare