kappa_test {kappaGold}R Documentation

Significance test for homogeneity of kappa coefficients

Description

When groups of different subjects are rated on a nominal scale. Assuming independence of subjects and their ratings between groups a chi-squared test for equality of kappa between these groups is performed. The test requires estimates of kappa and its standard error per group.

Usage

kappa_test(kappas, val = "value0", se = "se0", conf.level = 0.95)

Arguments

kappas

list of kappas from different groups. It uses the kappa estimate and its standard error.

val

character. Name of field to extract kappa coefficient estimate.

se

character. Name of field to extract standard error of kappa.

conf.level

numeric. confidence level of confidence interval for overall kappa

Details

A common overall kappa coefficient across groups is estimated. The test statistic assesses the weighted squared deviance of the individual kappas from the overall kappa estimate. The weights depend on the provided standard errors.

Value

list containing the test results, including the entries statistic and p.value (class htest)

References

Joseph L. Fleiss, Statistical Methods for Rates and Proportions, 3rd ed., 2003, section 18.1

Examples

# script concordance test on 34 clinical situations,
# rated by 39 students and 11 experts
kappa_stud <- kappam_fleiss(SC_test[, 1:39])
kappa_expert <- kappam_fleiss(SC_test[, 40:50])

# compare student and expert agreement
kappa_test(kappas = list(kappa_stud, kappa_expert))



[Package kappaGold version 0.3.2 Index]