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| 컴퓨터화된 적응형 검사(CAT)에서의 구성 타당도× | 컴퓨터화 적응형 검사 측정 불변성× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1989–2000s | 1990s–2000s |
| 창시자≠ | Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing |
| 유형≠ | Validity evaluation / psychometric evidence gathering | Measurement equivalence testing in adaptive testing contexts |
| 원전≠ | Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan. link ↗ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 |
| 별칭 | CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT |
| 관련 | 6 | 6 |
| 요약≠ | 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. | Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation. |
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