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컴퓨터화 적응 검사(CAT)에서의 판별 타당도×컴퓨터화된 적응형 검사(CAT)의 수렴 타당도×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1959 (discriminant validity); CAT application from 1990s onward1989–2000
창시자Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchersSamuel Messick (validity framework); Wainer and colleagues (CAT context)
유형Validity evaluation techniqueValidity evidence / construct validation
원전Weiss, D. J. (2004). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, 37(2), 70–84. DOI ↗Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
별칭CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separationCAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT
관련55
요약Discriminant validity in computerized adaptive testing (CAT) is the evaluation process confirming that a CAT-administered scale measures its intended construct distinctly from related but conceptually different constructs. Despite the adaptive item-selection mechanism varying each respondent's item set, evidence must be provided that CAT-derived scores do not overlap excessively with scores from theoretically distinct scales.Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence.
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