finn: Finn coefficient for oneway and twoway models

In irr: Various Coefficients of Interrater Reliability and Agreement

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.

Details

Missing data are omitted in a listwise way.
The Finn coefficient is especially useful, when variance between raters is low (i.e. agreement is high).
For the 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).

Value

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 and the df of the corresponding F-statistic.
$statistic	the value of the test statistic.
$p.value	the p-value for the test.

Author(s)

Matthias Gamer

References

Finn, R.H. (1970). A note on estimating the reliability of categorical data. Educational and Psychological Measurement, 30, 71-76.

See Also

icc, meancor, robinson

Examples

data(video)
finn(video, 6, model="twoway")

Example output

Loading required package: lpSolve
 Finn-Coefficient (Model=twoway)

 Subjects = 20 
   Raters = 4 
     Finn = 0.925 

F(Inf,60) = 13.3 
  p-value = 1.74e-23 

irr documentation built on May 2, 2019, 8:50 a.m.