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文章基本信息

  • 标题:Comparison of Scale Identification Methods in Mixture IRT Models
  • 本地全文:下载
  • 作者:Choi, Youn-Jeng ; Cohen, Allan S.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2019
  • 卷号:18
  • 期号:1
  • 页码:31-56
  • DOI:10.22237/jmasm/1556669700
  • 出版社:Wayne State University
  • 摘要:The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.
  • 关键词:Item response theory; mixture models; scale identification; MCMC; Bayesian estimation
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