방법 비교

	Cognitive Diagnostic Modeling	문항 반응 이론 (IRT)
분야	Education	심리측정학
계열	Latent structure	Latent structure
기원 연도	2010	1952–1968
창시자	Tatsuoka; DiBello, Roussos & Stout; Junker & Sijtsma; de la Torre	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
유형	Restricted latent class models for diagnosing mastery of discrete skills	Probabilistic measurement model
원전	Rupp, A. A., Templin, J., & Henson, R. A. (2010). Diagnostic Measurement: Theory, Methods, and Applications. Guilford Press. ISBN: 9781606235270	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
별칭	CDM, Diagnostic Classification Models, DCM, DINA / G-DINA Models	IRT, latent trait theory, item characteristic curve theory, modern test theory
관련	4	5
요약	Cognitive diagnostic models (CDMs), also called diagnostic classification models, are restricted latent class models that report not a single ability score but a profile of which discrete skills or attributes a student has mastered. Each item is linked to the attributes it requires through a Q-matrix, and the model classifies every examinee into one of the possible binary mastery patterns. CDMs answer 'which specific skills does this student lack' rather than 'how much overall ability does this student have,' making them central to fine-grained diagnostic and formative assessment.	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.