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多群クロンバックのアルファ×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1951 (alpha); multi-group application from 1980s onward1971
提唱者Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance researchKarl Jöreskog
種類Reliability / internal consistency comparisonMeasurement model / invariance test
原典Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. 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group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alphaMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
関連46
概要Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons.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 Cronbach's alpha · Multi-group confirmatory factor analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare