fleiss.pair: Compare G independent pairwise kappa coefficients

In svanbelle/multiagree: Comparaison of dependent kappa coefficients

Compare G independent pairwise kappa coefficients

Description

This functions compare L independent kappa coefficients using the method of Fleiss (1981)

Usage

fleiss.pair(rater1, rater2, cluster_id, weight = "equal", multilevel = T,
  a.level = 0.05, cov, ITN = 1000, meth)

Arguments

rater1	a vector with the ratings of the first observer
rater2	a vector with the ratings of the second observer
cluster_id	a vector with the identification number of the clusters
weight	the weighting scheme to be used for kappa coefficients. 'unweighted' for Cohen's kappa, 'equal' for linear weights and 'squared' for quadratic weights
multilevel	a binary indicator equal to TRUE if the data are multilevel and FALSE otherwiwse.
a.level	the significance level
cov	the covariate determining the L groups to be compared
ITN	number of bootstrap iterations needed if the bootstrap procedure is chosen
meth	the method to be used to compute the standard error of the kappa coefficients: 'delta' for the delta method and 'boot' for the bootstrap method.

Details

This function compare L independent kappa coefficients using the method of Fleiss (1981). The data have to be entered in a vertical format.

Value

$kappa the value of the L kappa coefficients and their standard error

$chi the value of the chi-squared statistic with L-1 degrees of freedom

$p the p-value

Author(s)

Sophie Vanbelle [e-mail]

References

Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: John Wiley

Vanbelle S. Comparing dependent agreement coefficients obtained on multilevel data. submitted

Vanbelle S. (2014) A New Interpretation of the Weighted Kappa Coefficients. Psychometrika. Advance online publication. doi: 10.1007/s11336-014-9439-4

Examples

 
 
#dataset (multilevel) (Vanbelle, xxx)

data(FEES)
attach(FEES)

fleiss.pair(rater1=val_CO,rater2=val_COR,cluster_id=subject,
weight="unweighted",multilevel=TRUE,meth='delta',cov=group)

svanbelle/multiagree documentation built on Feb. 9, 2023, 2:37 p.m.