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| 컴퓨터화 적응 검사(CAT)에서의 판별 타당도× | 문항 반응 이론 (IRT)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1959 (discriminant validity); CAT application from 1990s onward | 1952–1968 |
| 창시자≠ | Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| 유형≠ | Validity evaluation technique | Probabilistic measurement model |
| 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 ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| 별칭 | CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| 관련 | 5 | 5 |
| 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. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
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