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Wright Map Analysis×Théorie de la réponse aux items (TRI)×
DomaineEducationPsychométrie
FamilleLatent structureLatent structure
Année d'origine20051952–1968
Auteur d'origineBenjamin Wright (Rasch measurement); construct-mapping framing by Mark WilsonFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
TypeGraphical display aligning person abilities and item difficulties on one scaleProbabilistic measurement model
Source fondatriceWilson, M. (2005). Constructing Measures: An Item Response Modeling Approach. Lawrence Erlbaum Associates. ISBN: 9780805847857Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
AliasItem-Person Map, Item Map, Construct Map (Rasch), Variable MapIRT, latent trait theory, item characteristic curve theory, modern test theory
Apparentées45
RésuméA Wright map (item-person map) is the signature graphical output of Rasch measurement: it places persons and items on the same vertical scale, with examinee abilities on one side and item difficulties on the other, both in logits. Because a person succeeds on an item with probability one-half when their ability equals the item's difficulty, this shared scaling lets analysts see at a glance how well a test is targeted to its examinees, what the items reveal about the construct's order, and where measurement is sparse. Named for Benjamin Wright and central to Mark Wilson's construct-mapping approach, it is a primary tool for interpreting and validating measures.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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ScholarGateComparer des méthodes: Wright Map Analysis · Item Response Theory. Consulté le 2026-06-24 sur https://scholargate.app/fr/compare