… all possible denominators, which indicates that κ 2 if the weighted average of R(R − 1) values
of κ… of the Cohen kappa coefficient, since the values \(\hat{I}_{o}\) and \(\hat{I}_{e}\) of \(\hat{\…

… probability values for Cohen's kappa with two raters are compared utilizing an example data
set. Symmetric unweighted, linear weighted, and quadratic weighted kappa are used to illus…

… as a result of the Cohen kappa coefficient being used in testing … , and different weighting
calculations for disagreement cells … weighted kappa can be interpreted as a weighted average of …

… This research implements weighted agreement measures as … Five kappa-like agreement
measures with six weighting … ’s weighted π -measure as a strong alternative to Cohen’s …

… of weighted kappa, namely, Cohen’s kappa for nominal categories. Weighted kappa and
unweighted kappa … Unweighted kappa is a weighted average of κ 1 , κ 2 , and κ 3 , where the …

… Cohen's kappa statistic should not be confused with the intraclass kappa statistic according
… that are lower than those produced by Cohen's kappa. This becomes critical when the two …

… This research discusses the use of Cohen’s κ (kappa), Brennan and Prediger’s κ n , and the
… as special cases of Cohen’s weighted κ. One benefit from using weighted κ is that specific …

… the advantages of applying the Cohen's Kappa test to assess the … unweighted and weighted
versions of the Cohen's Kappa test … classes when two indices disagree (weighted version). …

… , was extended by Cohen (1 960) and has come to be known as Cohen's kappa. It springs
… for the common kappa. The pooled kappa estimator is a weighted average of the kappas for …

… as a substitute for Cohen's kappa. It is the aim of this paper to investigate some mathematical
properties of Gwet's AC1 and Cohen's kappa to check whether this is indeed the case. …