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Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uhalali wa Maudhui katika Upimaji Unaoendeshwa na Kompyuta kwa Kubadilika (CAT)× | Computerized adaptive test item response theory× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1975 / 1980 | 1970s–1980s |
| Mwanzilishi≠ | Lawshe (content validity); Lord & Weiss (CAT framework) | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| Aina≠ | Validity evaluation / test design | Adaptive measurement / sequential testing |
| Chanzo asilia≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| Majina mbadala | CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| Zinazohusiana≠ | 6 | 4 |
| Muhtasari≠ | Content validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level. | 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. |
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