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Analisi Fattoriale Confermatoria×Affidabilità inter-rater (kappa di Cohen e ICC)×
CampoPsicometriaPsicometria
FamigliaLatent structureLatent structure
Anno di origine19691960 (kappa); 1979 (ICC)
IdeatoreKarl JöreskogCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
TipoMeasurement model / latent variable analysisReliability / agreement analysis
Fonte seminaleBrown, 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 ↗
AliasDoğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testinginter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
Correlati66
SintesiConfirmatory 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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ScholarGateConfronta i metodi: CFA — Scale Validation · Interrater Reliability. Consultato il 2026-06-20 da https://scholargate.app/it/compare