方法对比
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| 计算机化自适应测试（CAT）中的构念效度× | 计算机化自适应测验测量不变性× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1989–2000s | 1990s–2000s |
| 提出者≠ | Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing |
| 类型≠ | Validity evaluation / psychometric evidence gathering | Measurement equivalence testing in adaptive testing contexts |
| 开创性文献≠ | Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan. link ↗ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 |
| 别名 | CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | 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. |
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