![]() The proportion of pairs of judges that agree in their evaluation on subject i is given by While for Cohen’s kappa both judges evaluate every subject, in the case of Fleiss’ kappa, there may be many more than m judges and not every judge needs to evaluate each subject what is important is that each subject is evaluated m times.įor every subject i = 1, 2, …, n and evaluation categories j = 1, 2, …, k, let x ij = the number of judges that assign category j to subject i. for Example 1 of Cohen’s Kappa, n = 50, k = 3 and m = 2. Let n = the number of subjects, k = the number of evaluation categories and m = the number of judges for each subject. As for Cohen’s kappa no weighting is used and the categories are considered to be unordered. ![]() ![]() Cohen’s kappa is a measure of the agreement between two raters, where agreement due to chance is factored out. We now extend Cohen’s kappa to the case where the number of raters can be more than two.
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