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| 단축형 문항 반응 이론 (SF-IRT)× | 문항반응이론(IRT) 기반 컴퓨터 적응 검사 (CAT-IRT)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1980s–2000s | 1970s–1980s |
| 창시자≠ | Multiple contributors; IRT adapted to short-form contexts from Lord & Novick (1968) and subsequent applied psychometricians | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| 유형≠ | Latent trait / item calibration model | Adaptive measurement / sequential testing |
| 원전≠ | Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191 | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| 별칭 | SF-IRT, abbreviated scale IRT, short-form calibration, shortened instrument IRT | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| 관련≠ | 6 | 4 |
| 요약≠ | Short-form item response theory applies IRT calibration and scoring to abbreviated or shortened psychological scales. It uses item information functions to guide which items to retain from a full-length instrument, then estimates latent trait scores from the reduced item set while preserving psychometric rigor and linkage to the full-scale metric. | 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. |
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