Modeling Abilities in 3-IRT Models

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dc.contributor.authorEdilberto Cepeda Cuervo
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:49:51Z
dc.date.available2026-03-22T15:49:51Z
dc.date.issued2004
dc.descriptionCitaciones: 3
dc.description.abstractThis paper considers situations where regression models are proposed to model abilities on three parameter logistic models. After a summary of the classical approach to estimate the item parameters and the abilities, we provide an exposition of the maximum likelihood method to estimate the regression parameters. We analyze how good these estimations are, using a simulated study, and we include an application.
dc.identifier.urihttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.483.4970
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/54663
dc.language.isoen
dc.sourceUniversidad de Los Andes
dc.subjectLogistic regression
dc.subjectStatistics
dc.subjectRegression analysis
dc.subjectEconometrics
dc.subjectMaximum likelihood
dc.subjectMathematics
dc.subjectRegression
dc.subjectExposition (narrative)
dc.subjectComputer science
dc.titleModeling Abilities in 3-IRT Models
dc.typearticle

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