Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Fiabilité inter-juges (κ de Cohen et CCI)× | Théorie de la généralisabilité (G-Theory)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1960 (kappa); 1979 (ICC) | 1963 |
| Auteur d'origine≠ | Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979) | Lee J. Cronbach and colleagues |
| Type≠ | Reliability / agreement analysis | ANOVA-based variance-component framework |
| Source fondatrice≠ | Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗ | Brennan, R. L. (2001). Generalizability Theory. Springer. link ↗ |
| Alias≠ | inter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC) | Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı) |
| Apparentées | 6 | 6 |
| Résumé≠ | 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. | Generalizability Theory, developed by Lee J. Cronbach and colleagues in the 1960s and formalised by Brennan (2001), is an ANOVA-based framework that extends Classical Test Theory by decomposing observed score variance into multiple, separately identified sources of measurement error — such as raters, tasks, occasions, or items — rather than bundling all error into a single undifferentiated term. |
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