Cohen's linearly weighted kappa is a weighted average

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Abstract

An n × n agreement table F = {fij} with n ≥ 3 ordered categories can for fixed m (2 ≤ m ≤ n - 1) be collapsed into, distinct m × m tables by combining adjacent categories. It is shown that the components (observed and expected agreement) of Cohen's weighted kappa with linear weights can be obtained from the m × m subtables. A consequence is that weighted kappa with linear weights can be interpreted as a weighted average of the linearly weighted kappas corresponding to the m × m tables, where the weights are the denominators of the kappas. Moreover, weighted kappa with linear weights can be interpreted as a weighted average of the linearly weighted kappas corresponding to all nontrivial subtables. © 2011 The Author(s).

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APA

Warrens, M. J. (2012). Cohen’s linearly weighted kappa is a weighted average. Advances in Data Analysis and Classification, 6(1), 67–79. https://doi.org/10.1007/s11634-011-0094-7

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