方法对比
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| 计算机化自适应测验的聚合效度× | 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≠ | 1989–2000 | 1989–2000s |
| 提出者≠ | Samuel Messick (validity framework); Wainer and colleagues (CAT context) | Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues |
| 类型≠ | Validity evidence / construct validation | Validity evaluation / psychometric evidence gathering |
| 开创性文献≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | 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 convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT | CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT |
| 相关≠ | 5 | 6 |
| 摘要≠ | Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence. | 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. |
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