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確認的因子分析(CFA)×評者間信頼性(コーエンのカッパおよびICC)×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年19691960 (kappa); 1979 (ICC)
提唱者Karl Gustav JöreskogCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
種類Hypothesis-testing latent variable modelReliability / agreement analysis
原典Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗
別名CFA, confirmatory FA, measurement model, restricted factor analysisinter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
関連46
概要Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.Interrater reliability quantifies the degree to which two or more independent raters produce consistent scores when evaluating the same individuals or products. The family encompasses Cohen's kappa, introduced in 1960 for categorical judgments, and the Intraclass Correlation Coefficient (ICC) for continuous ratings, together spanning most measurement scenarios encountered in behavioral, health, and educational research.
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ScholarGate手法を比較: Confirmatory factor analysis · Interrater Reliability. 2026-06-18に以下より取得 https://scholargate.app/ja/compare