finn: Finn coefficient for oneway and twoway models
Description
Computes the Finn coefficient as an index of the interrater reliability of quantitative data. Additionally, F-test and confidence interval are computed.
Usage
finn(ratings, s.levels, model = c("oneway", "twoway"))
Arguments
ratings
n*m matrix or dataframe, n subjects m raters.
s.levels
the number of different rating categories.
model
a character string specifying if a '"oneway"' model (default) with row effects random, or a '"twoway"' model with column and row effects random should be applied. You can specify just the initial letter.
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 and the df of the corresponding F-statistic.
$statisticthe value of the test statistic.
$p.valuethe p-value for the test.
Details
Missing data are omitted in a listwise way.
\crTheFinn coefficient is especially useful, when variance between raters is low (i.e. agreement is high).
\crForthe computation it could be specified if only the subjects are considered as random effects ('"oneway"' model) or if subjects and raters are randomly chosen from a bigger pool of persons ('"twoway"' model).
References
Finn, R.H. (1970). A note on estimating the reliability of categorical data. Educational and Psychological Measurement, 30, 71-76.