Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Загальнотеорія генералізованості для комп'ютеризованого адаптивного тестування× | Аналіз надійності комп'ютеризованого адаптивного тестування× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1972 (G-theory); CAT application 1990s–2000s | 1970s–1980s |
| Автор методу≠ | Lee J. Cronbach (G-theory); applied to CAT by Brennan and others | David J. Weiss and IRT psychometricians |
| Тип≠ | Reliability / generalizability analysis | Reliability estimation under adaptive testing |
| Основоположне джерело≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. DOI ↗ |
| Інші назви | CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis | CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT |
| Пов'язані≠ | 6 | 4 |
| Підсумок≠ | 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. | CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution. |
| ScholarGateНабір даних ↗ |
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