The accuracy of the large sample standard error
of weighted kappa appropriate to the non-null case
was studied by computer simulation. Results indicate
that only moderate sample sizes are required
to test the hypothesis that two independently derived
estimates of weighted kappa are equal. However,
in most instances the minimal sample sizes required
for setting confidence limits around a single
value of weighted kappa are inordinately large. An
alternative, but as yet untested procedure for setting
confidence limits, is suggested as being potentially
Fleiss, Joseph L & Cicchetti, Domenic V. (1978). Inference about weighted kappa in the non-null case. Applied Psychological Measurement, 2, 113-117. doi:10.1177/014662167800200111
Fleiss, Joseph L.; Cicchetti, Domenic V..
Inference about weighted kappa in the non-null case.
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