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Développement d'échelles polytomiques×Analyse Factorielle Confirmatoire (AFC)×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine1969–19821969
Auteur d'origineSamejima, F.; Masters, G. N. (independently)Karl Gustav Jöreskog
TypePsychometric scale constructionHypothesis-testing latent variable model
Source fondatriceEmbretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Aliaspolytomous item development, ordered-category scale construction, rating scale development, multi-category item developmentCFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées64
RésuméPolytomous scale development is the systematic construction and validation of measurement instruments whose items have three or more ordered response categories — such as Likert-type, rating, or partial-credit items. It applies polytomous item response theory models or ordinal factor analysis methods to evaluate item quality, estimate latent trait levels, and build a psychometrically sound scale.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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ScholarGateComparer des méthodes: Polytomous scale development · Confirmatory factor analysis. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare