Mean of bivariate correlations between raters
Computes the mean of bivariate Pearson's product moment correlations between raters as an index of the interrater reliability of quantitative data.
meancor(ratings, fisher = TRUE)
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.Missing data are omitted in a listwise way.
The mean of bivariate correlations should not be used as an index of interrater reliability when the variance of ratings differs between raters.
The null hypothesis r=0 could only be tested when Fisher z-standardized values are used for the averaging.
When computing Fisher z-standardized values, perfect correlations are omitted before averaging because z equals +/-Inf in that case.
A list with class '"irrlist"' containing the following components: - $method: a character string describing the method applied for the computation of interrater reliability.
$subjects: the number of subjects examined.
$raters: the number of raters.
$irr.name: a character string specifying the name of the coefficient.
$value: coefficient of interrater reliability.
$stat.name: a character string specifying the name of the corresponding test statistic.
$statistic: the value of the test statistic.
$p.value: the p-value for the test.
$error: a character string specifying whether correlations were dropped before the computation of the Fisher z-standardized average.
Matthias Gamer
cor
data(anxiety) meancor(anxiety)