ltm: An R Package for Latent Variable Modeling and Item Response Analysis
AbstractThe 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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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Statistical Software.
Volume (Year): 17 ()
Issue (Month): i05 ()
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- Grand, James A. & Golubovich, Juliya & Ryan, Ann Marie & Schmitt, Neal, 2013. "The detection and influence of problematic item content in ability tests: An examination of sensitivity review practices for personnel selection test development," Organizational Behavior and Human Decision Processes, Elsevier, vol. 121(2), pages 158-173.
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