Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| CAT Generalizability Theory× | Item Response Theory (IRT)× | |
|---|---|---|
| Fagfelt | Psykometri | Psykometri |
| Familie | Latent structure | Latent structure |
| Opprinnelsesår≠ | 1972 (G-theory); CAT application 1990s–2000s | 1952–1968 |
| Opphavsperson≠ | Lee J. Cronbach (G-theory); applied to CAT by Brennan and others | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Type≠ | Reliability / generalizability analysis | Probabilistic measurement model |
| Opprinnelig kilde≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Alias | CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Relaterte≠ | 6 | 5 |
| Sammendrag≠ | 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. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGateDatasett ↗ |
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