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eba (version 1.5-2)

kendall.u: Kendall's Coefficient of Agreement

Description

Kendall's u coefficient of agreement between judges.

Usage

kendall.u(M, cont.correct = FALSE)

Arguments

M
a square matrix or a data frame consisting of absolute choice frequencies; row stimuli are chosen over column stimuli
cont.correct
logical, if TRUE a correction for continuity is applied (by deducting 1 from chi2), default is FALSE

Value

  • uKendall's u coefficient of agreement
  • min.uthe minimum value for u
  • chi2the chi-square statistic for a test that the agreement is by chance
  • dfthe degrees of freedom
  • pvalthe p-value of the test

Details

Kendall's u takes values between min.u (when agreement is minimum) and 1 (when agreement is maximum). 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.

References

Kendall, M.G., & Smith, B.B. (1940). On the method of paired comparisons. Biometrika, 31, 324--345.

See Also

eba, strans, circular.

Examples

Run this code
data(celebrities)
kendall.u(celebrities)  # moderate agreement

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