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Authors: Dimitris Rizopoulos
Title: [download]
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ltm: An R Package for Latent Variable Modeling and Item Response Analysis
Reference: Vol. 17, Issue 5, Nov 2006
Submitted 2006-05-08, Accepted 2006-11-20
Type: Article
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.

Paper: [download]
(22541)
ltm: An R Package for Latent Variable Modeling and Item Response Analysis
(application/pdf, 447.3 KB)
Supplements: [download]
(2450)
ltm_0.7-0.tar.gz: R source package
(application/x-gzip, 73.5 KB)
[download]
(2605)
v17i05.R: R example code from the paper
(application/x-zip-compressed, 1.7 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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