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多群項目反応理論(MG-IRT)×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1990s1971
提唱者Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990sKarl Jöreskog
種類Latent trait / measurement invarianceMeasurement model / invariance test
原典Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191Vandenberg, 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MG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groupsMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
関連66
概要Multi-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level.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 item response theory · Multi-group confirmatory factor analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare