Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Инвариантность измерений компьютеризированного адаптивного тестирования× | Computerized adaptive test item response theory× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1990s–2000s | 1970s–1980s |
| Автор метода≠ | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| Тип≠ | Measurement equivalence testing in adaptive testing contexts | Adaptive measurement / sequential testing |
| Основополагающий источник≠ | 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 |
| Другие названия | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| Связанные≠ | 6 | 4 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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