This is calculated by ignoring that pe is estimated from the data and treating in as an estimated probability of binomial distribution, while asymptomatic normality is used (i.e. assuming that the number of items is large and that this in is not close to 0 or 1). S E – Display style SE_ -kappa (and CI in general) can also be enjoyed with bootstrap methods. Landis, J. R., Koch, G. G. (1977). The measure of the compliance agreement for categorical data. Biometrics, 33, 159-174 Cohen`s Kappa is a statistical coefficient that represents the degree of accuracy and reliability in a statistical classification. It measures the agreement between two councillors (judges) who, by their purpose, classify each of the categories that are mutually exclusive. This statistic was introduced in 1960 by Jacob Cohen in the journal Educational and Psychological Measurement. where in is the relative correspondence observed among the advisors, and pe is the hypothetical probability of a random agreement. 34 themes have been identified.

All Kappa coefficients were assessed on the basis of the directive described by Landis and Koch (1977), with the power of Kappa coefficients (0.01-0.20) being slight; 0.21-0.40 Fair; 0.41-0.60 moderate; 0.61-0.80 significant; 0.81-1.00 almost perfect, according to Landis-Koch (1977). Of the 34 subjects, 11 had a fair agreement, 5 had a moderate agreement, four had a substantial agreement and four subjects had almost perfect agreement. Kappa will only address its maximum theoretical value of 1 if the two observers distribute codes in the same way, i.e. if the corresponding totals are the same. Everything else is less than a perfect match. Nevertheless, the maximum value Kappa could achieve helps, as uneven distributions help interpret the actual value received from Kappa. The equation for maximum is:[16] As you can probably say, calculating percentage agreements for more than a handful of advisors can be quickly complicated. For example, if you had 6 judges, you would have 16 pairs of pairs to calculate for each participant (use our combination calculator to find out how many pairs you would get for multiple judges). The reliability of the interrater is the level of correspondence between councillors or judges. If everyone agrees, IRR is 1 (or 100%) and if not everyone agrees, IRR is 0 (0%). There are several methods of calculating IRR, from the simple (z.B.