ltm: An R Package for Latent Variable Modeling and Item Response Theory Analyses
ltm: An R Package for Latent Variable Modeling and Item Response Theory Analyses
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ltm：用于潜变量建模和项目响应理论分析的 R 包
DOI：
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发表时间：
2006
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通讯作者：
Dimitrios Rizopoulos
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文献类型：
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作者：
Dimitrios Rizopoulos
R软件包ltm已开发用于在项目反应理论方法下使用潜变量模型分析多变量二分和多分数据。对于二分数据的Rasch，双参数Logistic和Birnbaum的三参数模型已经实现，而对于多分数据Semejima的分级响应模型是可用的。参数估计得到边际最大似然下使用高斯-厄米求积规则。使用两个真实的数据的例子来说明该软件包的功能和特点。
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.