Comparer des méthodes

	Conditional Standard Error of Measurement	Théorie de la réponse aux items (TRI)
Domaine	Education	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1980	1952–1968
Auteur d'origine	Test theory (Lord; Feldt; codified in the Standards)	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Type	Measurement-error estimate that varies with the examinee's score or ability level	Probabilistic measurement model
Source fondatrice	Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Lawrence Erlbaum Associates. ISBN: 9780898590067	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Alias	CSEM, Conditional SEM, Score-Level Measurement Error, Conditional Standard Error	IRT, latent trait theory, item characteristic curve theory, modern test theory
Apparentées	3	5
Résumé	The conditional standard error of measurement (CSEM) describes how much measurement error a test score carries at each point along the score scale, rather than as a single average. A test typically measures more precisely in some score ranges than others — often best near the middle and worst at the extremes — and the CSEM captures that variation. Recognized in test theory by Lord and required by the Standards for Educational and Psychological Testing, it is essential for honest score reporting, especially near cut scores where classification decisions are made.	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.