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多个评分者一致性系数的精确分布与参数分布之间的比较。

Comparison between exact and parametric distributions of multiple inter-raters agreement coefficient.

作者信息

Lehmann M, Daurès J P, Mottet N, Navratil H

机构信息

Département de l'Information Médicale, Hôpital Gaston Doumergue 5, Nîmes, France.

出版信息

Comput Methods Programs Biomed. 1995 Jul;47(2):113-21. doi: 10.1016/0169-2607(95)01646-b.

Abstract

The Global Kappa statistic can be used for measuring the degree of agreement between more than two raters. In this paper, we give simple computation formulas in the case of dichotomic and no missing responses in order to describe the exact distribution of Kappa for various sets defined by the number of raters, of different examinations and of positive responses. By programming those computations with the SAS software package, we were able to compare the exact and parametric distributions of Kappa. Although the correlation between parameters is high, a linear regression analysis shows that a strong imbalance between positive and negative responses can lead to misinterpretation of the results when using the parametric method.

摘要

全局卡帕统计量可用于衡量两个以上评分者之间的一致程度。在本文中,我们给出了二分法且无缺失回答情况下的简单计算公式,以描述卡帕对于由评分者数量、不同检查及阳性回答所定义的各种集合的确切分布。通过使用SAS软件包对这些计算进行编程,我们能够比较卡帕的确切分布和参数分布。尽管参数之间的相关性很高,但线性回归分析表明,当使用参数方法时,阳性和阴性回答之间的强烈不平衡可能导致结果的错误解读。

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