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Invariance de la mesure des tests adaptatifs informatisés×Computerized adaptive test item response theory×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine1990s–2000s1970s–1980s
Auteur d'origineBuilding on Meredith (1993) for invariance and Lord (1980) for adaptive testingLord, F. M.; further developed by Wainer, van der Linden, and others
TypeMeasurement equivalence testing in adaptive testing contextsAdaptive measurement / sequential testing
Source fondatriceMillsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
AliasCAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CATCAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Apparentées64
RésuméComputerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.
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ScholarGateComparer des méthodes: Computerized adaptive test measurement invariance · Computerized adaptive test item response theory. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare