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| 概化理论（G-Theory）× | 组内相关系数 (ICC)× | |
|---|---|---|
| 领域≠ | 心理测量学 | 统计学 |
| 方法族≠ | Latent structure | Hypothesis test |
| 起源年份≠ | 1963 | 1979 |
| 提出者≠ | Lee J. Cronbach and colleagues | Shrout & Fleiss |
| 类型≠ | ANOVA-based variance-component framework | Reliability / agreement coefficient |
| 开创性文献≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. link ↗ | Shrout, P.E. & Fleiss, J.L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ |
| 别名≠ | Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı) | ICC, intraclass correlation, rater reliability coefficient, Sınıf İçi Korelasyon Katsayısı (ICC) |
| 相关≠ | 6 | 5 |
| 摘要≠ | 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. | The Intraclass Correlation Coefficient (ICC) is a parametric reliability statistic that quantifies the degree of agreement or consistency among repeated measurements or multiple raters on a continuous outcome. The modern six-form taxonomy was established by Shrout and Fleiss in 1979 and remains the standard framework for selecting and reporting ICC in inter-rater reliability, test-retest repeatability, and multilevel-data analyses. |
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