Title: ltm: An R package for latent variable modeling and item response theory analyses
Authors: Rizopoulos, Dimitrios # ×
Issue Date: 2006
Publisher: Journal of statistical software
Series Title: Journal of statistical software vol:17 issue:5 pages:1-25
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.
ISSN: 1548-7660
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

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