meancor: Mean of bivariate correlations between raters
Description
Computes the mean of bivariate Pearson's product moment correlations between raters as an index of the interrater reliability of quantitative data.
Usage
meancor(ratings, fisher = TRUE)
Arguments
ratings
n*m matrix or dataframe, n subjects m raters.
fisher
a logical indicating whether the correlation coefficients should be Fisher z-standardized before averaging.
Value
A list with class '"irrlist"' containing the following components:
$methoda character string describing the method applied for the computation of interrater reliability.
$subjectsthe number of subjects examined.
$ratersthe number of raters.
$irr.namea character string specifying the name of the coefficient.
$valuecoefficient of interrater reliability.
$stat.namea character string specifying the name of the corresponding test statistic.
$statisticthe value of the test statistic.
$p.valuethe p-value for the test.
$errora character string specifying whether correlations were dropped before the computation of the Fisher z-standardized average.
Details
Missing data are omitted in a listwise way.
\crThemean of bivariate correlations should not be used as an index of interrater reliability when the variance of ratings differs between raters.
\crThenull hypothesis r=0 could only be tested when Fisher z-standardized values are used for the averaging.
\crWhencomputing Fisher z-standardized values, perfect correlations are omitted before averaging because z equals +/-Inf in that case.