Linganisha mbinu

	Uthibitishaji wa utofauti katika Upimaji unaobadilika kwa kompyuta (CAT)	Nadharia ya Itikio la Kipengee (IRT)
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1959 (discriminant validity); CAT application from 1990s onward	1952–1968
Mwanzilishi	Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Aina	Validity evaluation technique	Probabilistic measurement model
Chanzo asilia	Weiss, 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.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Majina mbadala	CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation	IRT, latent trait theory, item characteristic curve theory, modern test theory
Zinazohusiana	5	5
Muhtasari	Discriminant 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.	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.