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Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uthabiti wa Upimaji wa Vipimo vya Kompyuta vinavyobadilika× | Computerized adaptive test item response theory× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1990s–2000s | 1970s–1980s |
| Mwanzilishi≠ | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| Aina≠ | Measurement equivalence testing in adaptive testing contexts | Adaptive measurement / sequential testing |
| Chanzo asilia≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| Majina mbadala | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| Zinazohusiana≠ | 6 | 4 |
| Muhtasari≠ | Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation. | 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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