Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Confiabilidade Interavaliadores (κ de Cohen e ICC)× | Teoria da Generalizabilidade (G-Theory)× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1960 (kappa); 1979 (ICC) | 1963 |
| Autor original≠ | Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979) | Lee J. Cronbach and colleagues |
| Tipo≠ | Reliability / agreement analysis | ANOVA-based variance-component framework |
| Fonte seminal≠ | 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 ↗ |
| Outros nomes≠ | 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) |
| Relacionados | 6 | 6 |
| Resumo≠ | 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. |
| ScholarGateConjunto de dados ↗ |
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