Cohen κ Simples

(p₀−p_e)/(1−p_e).
Created by
Renato Passos, Eng. de Software
Reviewed by
Renato Passos, Eng. de Software

Last updated: Apr 18, 2026

κ
0,7000

About this calculator

The Cohen's kappa Simple calculator is a useful tool for calculating Cohen's kappa coefficient, which is a measure of agreement between two raters in a categorical classification.

This calculator uses the formula (p₀−p_e)/(1−p_e) to calculate the value of Cohen's kappa, where p₀ is the observed frequency of agreement and p_e is the expected frequency of agreement by chance.

Here are some cases where the Cohen's kappa Simple calculator is useful: in studies of agreement between doctors in diagnoses, in evaluations of quality of services, and in analyses of agreement between judges in beauty contests.

However, it is essential to keep in mind some precautions when using this calculator: the choice of the classification category should be done carefully, as it may affect the result; the sample should be large enough to ensure the accuracy of the result; and the result should be interpreted with caution, considering the reliability of the sample and the variability of the data.

Frequently asked questions

What is Cohen's kappa?

Cohen's kappa is a measure of agreement between two raters in a categorical classification. It is an agreement measure that takes into account the observed agreement and the agreement expected by chance.

When to use this calculator?

Use this calculator when you need to calculate the agreement between two raters in a categorical classification, such as in studies of agreement between doctors, evaluations of quality of services, or analyses of agreement between judges.

What is the formula used by the calculator?

The formula used by the calculator is (p₀−p_e)/(1−p_e), where p₀ is the observed frequency of agreement and p_e is the expected frequency of agreement by chance.

What is p₀ and p_e?

p₀ is the observed frequency of agreement between the two raters, while p_e is the expected frequency of agreement by chance.

Why is the choice of the classification category important?

The choice of the classification category is important as it may affect the result of the Cohen's kappa calculation. It is essential to choose a category that is relevant and does not present problems of agreement by chance.

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