Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Содержательная валидность в адаптивном тестировании с компьютером (CAT)× | Содержательная валидность× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1975 / 1980 | 1975 |
| Автор метода≠ | Lawshe (content validity); Lord & Weiss (CAT framework) | C. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement |
| Тип≠ | Validity evaluation / test design | Validity evidence / expert judgement procedure |
| Основополагающий источник | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ |
| Другие названия | CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity | content-related validity, logical validity, face validity, content validation |
| Связанные | 6 | 6 |
| Сводка≠ | 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. | Content validity is evidence that a measurement instrument adequately samples the full domain of the construct it is intended to measure. It is established through systematic expert review and quantified with indices such as Lawshe's Content Validity Ratio (CVR) and Lynn's Content Validity Index (CVI), making it the foundational validity step in scale development. |
| ScholarGateНабор данных ↗ |
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