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컴퓨터화 적응 검사 문항 분석×Rasch 모형×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1970s–1990s1960
창시자Lord, Weiss, and colleagues in psychometric research on adaptive testingGeorg Rasch
유형Item calibration and evaluationItem Response Theory / Latent trait model
원전van der Linden, W. J. & Glas, C. A. W. (Eds.) (2000). Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers. ISBN: 978-0792365556Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
별칭CAT item analysis, adaptive item calibration, IRT-based CAT item evaluation, adaptive item parameter estimation1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
관련66
요약Computerized adaptive test item analysis evaluates and calibrates items intended for use in adaptive testing environments. Unlike fixed-form analysis, it accounts for the non-random item exposure inherent in adaptive administration, using item response theory to estimate item parameters, information functions, and exposure rates across the ability continuum.The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.
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