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**Cohen’s weighted kappa with additive weights.**
*(English)*
Zbl 1271.62128

Summary: Cohen’s weighted kappa is a popular descriptive statistic for summarizing interrater agreement on an ordinal scale. An agreement table with \(n\in\mathbb N_{\geq 3}\) ordered categories can be collapsed into \(n-1\) distinct \(2\times 2\) tables by combining adjacent categories. Weighted kappa with linear weights is a weighted average of the kappas corresponding to the \(2\times 2\) tables, where the weights are the denominators of the \(2\times 2\) 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 \(2\times 2\) 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.

### MSC:

62H20 | Measures of association (correlation, canonical correlation, etc.) |

62P10 | Applications of statistics to biology and medical sciences; meta analysis |

62P15 | Applications of statistics to psychology |

### Keywords:

Cohen’s kappa; combining categories; linear weights; quadratic weights; \(2\times 2\) tables; Glasgow outcome scale
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\textit{M. J. Warrens}, Adv. Data Anal. Classif., ADAC 7, No. 1, 41--55 (2013; Zbl 1271.62128)

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