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Sadržajna valjanost u kompjuteriziranom adaptivnom testiranju (CAT)×Teorija odgovora na stavke (IRT)×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka1975 / 19801952–1968
TvoracLawshe (content validity); Lord & Weiss (CAT framework)Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
VrstaValidity evaluation / test designProbabilistic measurement model
Temeljni izvorLawshe, 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 ↗
Drugi naziviCAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validityIRT, latent trait theory, item characteristic curve theory, modern test theory
Srodne65
SažetakContent 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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ScholarGateUsporedite metode: Computerized Adaptive Test Content Validity · Item Response Theory. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare