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| 컴퓨터화 적응 검사(CAT)에서의 판별 타당도× | 수렴 타당도× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1959 (discriminant validity); CAT application from 1990s onward | 1959 |
| 창시자≠ | Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers | Donald T. Campbell & Donald W. Fiske |
| 유형≠ | Validity evaluation technique | Validity evidence / construct validation |
| 원전≠ | 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 ↗ |
| 별칭≠ | CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation | convergent construct validity, convergence validity, AVE-based convergent validity |
| 관련≠ | 5 | 4 |
| 요약≠ | 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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