方法证据记录
CAT Generalizability Theory
Generalizability theory (G-theory) applied to computerized adaptive testing (CAT) evaluates the dependability of adaptive test scores by decomposing score variance across measurement facets such as persons, items, and occasions. Unlike classical test theory, G-theory quantifies multiple simultaneous sources of measurement error, offering a richer reliability picture for adaptively administered assessments.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Computerized Adaptive Test Generalizability Theory
分类方法记录 · latent-structure / psychometrics
- Brennan, R. L. (2001). Generalizability Theory. Springer. · ISBN 978-0387952826
- Van der Linden, W. J., & Glas, C. A. W. (2000). Computerized adaptive testing: Theory and practice. Kluwer Academic Publishers. · URL
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