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ltm: An R Package for Latent Variable Modeling and Item Response Analysis

The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum's Three-Parameter models have been implemented, wherea... Full description

Year of Publication: 2006-11-20
Authors: Rizopoulos, Dimitris
Published in:
Journal of Statistical Software.- American Statistical Association. - Vol. 17.2006, i05
Publisher: American Statistical Association
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Type of Publication: Article
Title record from database: RePEc - Research Papers in Economics
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Summary: The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum's Three-Parameter models have been implemented, whereas for polytomous data Semejima's Graded Response model is available. Parameter estimates are obtained under marginal maximum likelihood using the Gauss-Hermite quadrature rule. The capabilities and features of the package are illustrated using two real data examples.
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