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اعتبار محتوا در آزمون‌های انطباقی کامپیوتری (CAT)×نظریه پاسخ به سنجش (IRT)×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش1975 / 19801952–1968
پدیدآورLawshe (content validity); Lord & Weiss (CAT framework)Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
نوعValidity evaluation / test designProbabilistic measurement model
منبع بنیادینLawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
نام‌های دیگرCAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validityIRT, latent trait theory, item characteristic curve theory, modern test theory
مرتبط65
خلاصهContent validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level.Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.
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ScholarGateمقایسهٔ روش‌ها: Computerized Adaptive Test Content Validity · Item Response Theory. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare