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  • 标题:On the Equivalence of Multirater Kappas Based on 2-Agreement and 3-Agreement with Binary Scores
  • 本地全文:下载
  • 作者:Matthijs J. Warrens
  • 期刊名称:ISRN Probability and Statistics
  • 电子版ISSN:2090-472X
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.5402/2012/656390
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Cohen’s kappa is a popular descriptive statistic for summarizing agreement between the classifications of two raters on a nominal scale. With raters there are several views in the literature on how to define agreement. The concept of g-agreement refers to the situation in which it is decided that there is agreement if g out of m raters assign an object to the same category. Given raters we can formulate multirater kappas, one based on 2-agreement, one based on 3-agreement, and so on, and one based on m-agreement. It is shown that if the scale consists of only two categories the multi-rater kappas based on 2-agreement and 3-agreement are identical.
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