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验证性因子分析×评分者间信度(Cohen's κ 和 ICC)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19691960 (kappa); 1979 (ICC)
提出者Karl JöreskogCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
类型Measurement model / latent variable analysisReliability / agreement analysis
开创性文献Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. ISBN: 978-1462515363Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗
别名Doğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testinginter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
相关66
摘要Confirmatory factor analysis is a measurement modelling technique that tests whether a hypothesised factor structure — typically derived from theory or an earlier exploratory analysis — fits observed data from a new sample. Developed by Karl Jöreskog in 1969, it became the dominant tool for validating psychological scales because it requires the researcher to specify in advance which items belong to which latent factor and then assesses the adequacy of that specification against explicit statistical fit criteria.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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  3. PUBLISHED

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ScholarGate方法对比: CFA — Scale Validation · Interrater Reliability. 于 2026-06-20 检索自 https://scholargate.app/zh/compare