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文章基本信息

  • 标题:Estimating Internal Consistency Using Bayesian Methods
  • 本地全文:下载
  • 作者:Padilla, Miguel A. ; Zhang, Guili
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2011
  • 卷号:10
  • 期号:1
  • 页码:25
  • 出版社:Wayne State University
  • 摘要:Bayesian internal consistency and its Bayesian credible interval (BCI) are developed and Bayesian internal consistency and its percentile and normal theory based BCIs were investigated in a simulation study. Results indicate that the Bayesian internal consistency is relatively unbiased under all investigated conditions and the percentile based BCIs yielded better coverage performance.
  • 关键词:Bayesian internal consistency; coefficient alpha; confidence interval; Bayesian confidence interval; coverage probability
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