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| 컴퓨터화된 적응형 검사(CAT)의 수렴 타당도× | 컴퓨터화된 적응형 검사(CAT)에서의 구성 타당도× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1989–2000 | 1989–2000s |
| 창시자≠ | Samuel Messick (validity framework); Wainer and colleagues (CAT context) | Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues |
| 유형≠ | Validity evidence / construct validation | Validity evaluation / psychometric evidence gathering |
| 원전≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan. link ↗ |
| 별칭 | CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT | CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT |
| 관련≠ | 5 | 6 |
| 요약≠ | 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. | 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. |
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