方法对比
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| 计算机化自适应测验（CAT）中的区分效度× | 项目反应理论 (IRT)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1959 (discriminant validity); CAT application from 1990s onward | 1952–1968 |
| 提出者≠ | Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| 类型≠ | Validity evaluation technique | Probabilistic measurement model |
| 开创性文献≠ | Weiss, D. J. (2004). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, 37(2), 70–84. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| 别名 | CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| 相关 | 5 | 5 |
| 摘要≠ | Discriminant validity in computerized adaptive testing (CAT) is the evaluation process confirming that a CAT-administered scale measures its intended construct distinctly from related but conceptually different constructs. Despite the adaptive item-selection mechanism varying each respondent's item set, evidence must be provided that CAT-derived scores do not overlap excessively with scores from theoretically distinct scales. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGate数据集 ↗ |
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