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| 计算机化自适应测验（CAT）中的区分效度× | 计算机化自适应测验的聚合效度× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1959 (discriminant validity); CAT application from 1990s onward | 1989–2000 |
| 提出者≠ | Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers | Samuel Messick (validity framework); Wainer and colleagues (CAT context) |
| 类型≠ | Validity evaluation technique | Validity evidence / construct validation |
| 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 ↗ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| 别名 | CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation | CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT |
| 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. | 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. |
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