方法对比
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| 计算机化自适应测试（CAT）中的内容效度× | 计算机化自适应测试（CAT）中的构念效度× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1975 / 1980 | 1989–2000s |
| 提出者≠ | Lawshe (content validity); Lord & Weiss (CAT framework) | Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues |
| 类型≠ | Validity evaluation / test design | Validity evaluation / psychometric evidence gathering |
| 开创性文献≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan. link ↗ |
| 别名 | CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity | CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | Construct validity in computerized adaptive testing evaluates whether the latent trait estimates produced by a CAT instrument genuinely measure the intended psychological or educational construct. Because adaptive algorithms select items individually for each examinee, the validity evidence gathered must account for the variable item exposure and the IRT-based scoring that are unique to CAT administrations. |
| ScholarGate数据集 ↗ |
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