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  • 标题:Computerized Adaptive Testing with R: Recent Updates of the Package catR
  • 本地全文:下载
  • 作者:David Magis ; Juan Ramon Barrada
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2017
  • 卷号:76
  • 期号:1
  • 页码:1-19
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:The purpose of this paper is to list the recent updates of the R package catR. This package allows for generating response patterns under a computerized adaptive testing (CAT) framework with underlying item response theory (IRT) models. Among the most important updates, well-known polytomous IRT models are now supported by catR; several item selection rules have been added; and it is now possible to perform post-hoc simulations. Some functions were also rewritten or withdrawn to improve the usefulness and performances of the package.
  • 关键词:computerized adaptive testing;polytomous IRT models;post-hoc simulations;R package
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