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| 컴퓨터 적응 검사(CAT)에서의 내용 타당도× | 차별 문항 기능(Differential Item Functioning, DIF)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1975 / 1980 | 1970s–1993 |
| 창시자≠ | Lawshe (content validity); Lord & Weiss (CAT framework) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 유형≠ | Validity evaluation / test design | Item-level bias detection |
| 원전≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 별칭 | CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 관련≠ | 6 | 5 |
| 요약≠ | Content validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level. | Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development. |
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