Cohen's weighted kappa with additive weights

被引：15

作者：

Warrens, Matthijs J. ^{[1
]}

机构：

[1] Leiden Univ, Inst Psychol, Unit Methodol & Stat, NL-2300 RB Leiden, Netherlands

来源：

ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 2013年 / 7卷 / 01期

关键词：

Cohen's kappa; Combining categories; Linear weights; Quadratic weights; 2; x; Tables; Glasgow outcome scale; NOMINAL SCALE AGREEMENT; GLASGOW OUTCOME SCALE; COEFFICIENT;

D O I：

10.1007/s11634-013-0123-9

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Cohen's weighted kappa is a popular descriptive statistic for summarizing interrater agreement on an ordinal scale. An agreement table with ordered categories can be collapsed into distinct tables by combining adjacent categories. Weighted kappa with linear weights is a weighted average of the kappas corresponding to the tables, where the weights are the denominators of the kappas. It is shown that the linearly weighted kappa is a special case of a more general weighted kappa that is a weighted average of the kappas. This weighted kappa has additive weights, that is, given initial weights for pairs of adjacent categories the weight for two non-adjacent categories is obtained by adding the weights of all pairs of adjacent categories between the two.

引用

页码：41 / 55

页数：15

共 50 条

[1] Cohen’s weighted kappa with additive weights
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[3] Cohen’s linearly weighted kappa is a weighted average
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[6] Weighted kappa is higher than Cohen's kappa for tridiagonal agreement tables
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[7] Cohen's quadratically weighted kappa is higher than linearly weighted kappa for tridiagonal agreement tables
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[8] Cohen’s Linearly Weighted Kappa is a Weighted Average of 2×2 Kappas
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[9] Conditional inequalities between Cohen's kappa and weighted kappas
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[10] Comparison of classification accuracy using Cohen's Weighted Kappa
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