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| Bestätigende Faktorenanalyse (CFA)× | Interrater-Reliabilität (Cohens κ und ICC)× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1969 | 1960 (kappa); 1979 (ICC) |
| Urheber≠ | Karl Gustav Jöreskog | Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979) |
| Typ≠ | Hypothesis-testing latent variable model | Reliability / agreement analysis |
| Wegweisende Quelle≠ | 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 ↗ |
| Aliasnamen≠ | CFA, confirmatory FA, measurement model, restricted factor analysis | inter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC) |
| Verwandt≠ | 4 | 6 |
| Zusammenfassung≠ | 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. |
| ScholarGateDatensatz ↗ |
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