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| 컴퓨터화 적응형 검사 맥도날드 오메가× | 컴퓨터화된 적응형 검사 크론바흐 알파× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1999 (omega); CAT application 2000s–2010s | 1984 |
| 창시자≠ | Roderick P. McDonald (omega); CAT-omega application extended by IRT and psychometric reliability researchers | Adapted from Cronbach (1951); CAT reliability framing developed by Green, Bock, Humphreys, Linn & Reckase (1984) |
| 유형≠ | Reliability coefficient for adaptive tests | Reliability / internal consistency estimation |
| 원전≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D. (1984). Technical guidelines for assessing computerized adaptive tests. Journal of Educational Measurement, 21(4), 347–360. DOI ↗ |
| 별칭 | CAT omega reliability, omega in adaptive testing, hierarchical omega for CAT, CAT composite reliability | CAT reliability estimation, adaptive test internal consistency, CAT coefficient alpha, reliability in CAT |
| 관련≠ | 5 | 3 |
| 요약≠ | McDonald's omega adapted for computerized adaptive testing (CAT) quantifies the reliability of ability or trait estimates when different examinees answer different subsets of items. Unlike Cronbach's alpha, omega is grounded in a factor model, making it suitable for the heterogeneous item pools and variable test lengths that characterize adaptive administrations. | Cronbach's alpha applied to computerized adaptive test (CAT) data estimates internal consistency reliability under the special condition that different examinees receive different subsets of items. Because the classic formula assumes every respondent answers the same items, its direct application to CAT data violates core assumptions and typically underestimates or misrepresents true reliability, requiring careful adaptation or replacement with IRT-based reliability indices. |
| ScholarGate데이터셋 ↗ |
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