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| Компютъризиран адаптивен тест Макдоналдс Омега× | Computerized adaptive test item response theory× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1999 (omega); CAT application 2000s–2010s | 1970s–1980s |
| Създател≠ | Roderick P. McDonald (omega); CAT-omega application extended by IRT and psychometric reliability researchers | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| Тип≠ | Reliability coefficient for adaptive tests | Adaptive measurement / sequential testing |
| Основополагащ източник≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| Други названия | CAT omega reliability, omega in adaptive testing, hierarchical omega for CAT, CAT composite reliability | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| Свързани≠ | 5 | 4 |
| Резюме≠ | McDonald's omega adapted for computerized adaptive testing (CAT) quantifies the reliability of ability or trait estimates when different examinees answer different subsets of items. Unlike Cronbach's alpha, omega is grounded in a factor model, making it suitable for the heterogeneous item pools and variable test lengths that characterize adaptive administrations. | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. |
| ScholarGateНабор от данни ↗ |
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