방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 컴퓨터화 적응형 검사 측정 불변성× | 문항반응이론(IRT) 기반 컴퓨터 적응 검사 (CAT-IRT)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1990s–2000s | 1970s–1980s |
| 창시자≠ | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| 유형≠ | Measurement equivalence testing in adaptive testing contexts | Adaptive measurement / sequential testing |
| 원전≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| 별칭 | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| 관련≠ | 6 | 4 |
| 요약≠ | 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. | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. |
| ScholarGate데이터셋 ↗ |
|
|