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

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ID: 25261
2006
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Abstract
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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rizopoulos2006ltmjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rizopoulos, Dimitris;
Journal journal of statistical software
Year 2006
DOI
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http://www.jstatsoft.org/index.php/jss/article/view/1513
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