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確認的因子分析(CFA)×クロンバックのα(信頼性分析)×因子分析(EFA)×
分野統計学統計学統計学
系統Latent structureLatent structureLatent structure
提唱年19691951
提唱者Karl JöreskogLee J. Cronbach
種類Confirmatory latent variable modelReliability / internal consistency coefficientLatent variable / dimension reduction
原典Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗
別名Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modelcoefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)common factor analysis, açımlayıcı faktör analizi, factor analysis
関連444
概要Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research.Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.
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ScholarGate手法を比較: CFA · Cronbach's Alpha · EFA. 2026-06-18に以下より取得 https://scholargate.app/ja/compare