I have the following dataset
df <- data.frame(Nurse=c(1,2,4,3,5,4,3,2,4,3), Patient=c(2,3,5,4,4,4,3,3,2,3))
where for each row both a nurse rates and the patient self-rates the severity of their illness (from 1-5). Each row represents a different patient and different event.
How would I calculate kappa interrate agreement between nurse and patient and calculate associated CIs?
I have trialled
kappa2(df,weight = "equal")
but does not provide confidence intervals.
Try using the psych library, which gives the CI:
df <- data.frame(Nurse=c(1,2,4,3,5,4,3,2,4,3), Patient=c(2,3,5,4,4,4,3,3,2,3))
psych::cohen.kappa(df)
# Call: cohen.kappa1(x = x, w = w, n.obs = n.obs, alpha = alpha, levels = levels)
#
# Cohen Kappa and Weighted Kappa correlation coefficients and confidence boundaries
# lower estimate upper
# unweighted kappa -0.27 0.054 0.38
# weighted kappa 0.16 0.533 0.90
#
# Number of subjects = 10
