Inference about weighted kappa in the non-null case

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Inference about weighted kappa in the non-null case

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1978

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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 more accurate.

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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

Suggested citation

Fleiss, Joseph L.; Cicchetti, Domenic V.. (1978). Inference about weighted kappa in the non-null case. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99169.

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