kendall.u {eba} R Documentation

## Kendall's Coefficient of Agreement

### Description

Kendall's u coefficient of agreement between judges.

### Usage

kendall.u(M, correct = TRUE)

### Arguments

 M a square matrix or a data frame consisting of absolute choice frequencies; row stimuli are chosen over column stimuli correct logical, if TRUE (default) a continuity correction is applied when computing the test statistic (by subtracting one from the sum of agreeing pairs)

### Details

Kendall's u (Kendall and Babington Smith, 1940) takes on values between min.u (minimum agreement) and 1 (maximum agreement). The minimum min.u equals -1/(m - 1), if m is even, and -1/m, if m is odd, where m is the number of subjects (judges).

The null hypothesis in the chi-square test is that the agreement between judges is by chance.

It is assumed that there is an equal number of observations per pair and that each subject judges each pair only once.

### Value

 u Kendall's u coefficient of agreement min.u the minimum value for u chi2 the chi-square statistic for a test that the agreement is by chance df the degrees of freedom p.value the p-value of the test

### References

Kendall, M.G., & Babington Smith, B. (1940). On the method of paired comparisons. Biometrika, 31, 324–345. doi: 10.1093/biomet/31.3-4.324

schoolsubjects, eba, strans, circular.
data(schoolsubjects)
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