方法对比
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| 计算机化自适应测验（CAT）中的区分效度× | 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 | 1959 |
| 提出者≠ | Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers | Donald T. Campbell & Donald W. Fiske |
| 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 ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| 别名≠ | CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation | convergent construct validity, convergence validity, AVE-based convergent validity |
| 相关≠ | 5 | 4 |
| 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 is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
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