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  • 标题:Automating Simulation Research for Item Response Theory using R
  • 本地全文:下载
  • 作者:Sunbok Lee ; Youn-Jeng Choi ; Allan S. Cohen
  • 期刊名称:International Journal of Assessment Tools in Education
  • 电子版ISSN:2148-7456
  • 出版年度:2018
  • 卷号:5
  • 期号:4
  • 页码:682-700
  • DOI:10.21449/ijate.472185
  • 语种:English
  • 出版社:International Journal of Assessment Tools in Education
  • 摘要:A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings.Typically,a large number of replications are required to obtain the desired precision.However,many standard software packages in IRT,such as MULTILOG and BILOG,are not well suited for a simulation study requiring a large number of replications because they were developed as a stand-alone software package that is best suited for a single run.This article demonstrated how built-in R functions can be used to automate the simulation study using the stand-alone software packages in IRT.For a demonstration purpose,MULTILOG was used in the example codes in the appendices,but the overall framework of a simulation study and the builtin R functions used in this article can be applied for a simulation study using other stand-alone software packages as well.
  • 关键词:IRT;Simulation;R
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