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  • 标题:ltm: An R Package for Latent Variable Modeling and Item Response Analysis
  • 本地全文:下载
  • 作者:Dimitris Rizopoulos
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2006
  • 卷号:17
  • 期号:1
  • 页码:1-25
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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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