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Some Statistical Aspects of Measuring Agreement Based on a Modified Kappa

机译:基于改进的Kappa的衡量协议的某些统计方面

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The focus of this paper is the statistical inference of the problem of assessing agreement or disagreement between two raters who employ measurements on a two-level nominal scale. The purpose of this study was to derive the approximate asymptotic variance of the modified kappa statistic. Further, a comparison of the proposed estimate and an estimated large sample variance of Cohen's kappa is provided for all proportions expected to get a rating of 1 from each rater. When the value of the modified kappa is greater than or equal to 0.5 (or less than or equal to -0.5), the result of this study demonstrated that the sample estimate of the modified kappa is more efficient than the estimate of Cohen's kappa for each probability of being classified by both raters as category 1.
机译:本文的重点是对采用两级名义规模进行测量的两个评估者之间评估同意或不同意见的问题进行统计推断。这项研究的目的是得出修改后的kappa统计量的近似渐近方差。此外,对于预期从每个评估者获得1的所有比例,提供了建议的估计值与Cohen kappa的估计的较大样本方差的比较。当修改后的kappa值大于或等于0.5(或小于或等于-0.5)时,这项研究的结果表明,对于每个对象,修改后的kappa的样本估计要比对Cohen的kappa的估计更有效。两个评估者将其分类为类别1的可能性。

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