2009Unpublished venueRequires access

More than Just the Kappa Coefficient: A Program to Fully Characterize Inter-Rater Reliability between Two Raters

Michael P. Cunningham

Open publisher page 62 citations

Abstract

The kappa coefficient is a widely used statistic for measuring the degree of reliability between raters. SAS ® procedures and macros exist for calculating kappa with two or more raters, but none address situations when the kappa coefficient alone does not sufficiently describe the level of reliability. When the prevalence of a rating in the population is very high or low, the value of kappa may indicate poor reliability even with a high observed proportion of agreement. Researchers have recommended reporting several other values in addition to the kappa to address this and another paradox of the kappa statistic. This program, developed in SAS ® 9.1, calculates kappa, but also outputs the observed and expected proportions of agreement, the prevalence and bias indices, and the prevalence adjusted bias adjusted kappa (PABAK) for two raters. Designed for input of the rater responses in the familiar 2x2 table format using the SAS %WINDOW statement, users with minimal SAS experience will be able to report these statistics to more fully characterize the extent of inter-observer agreement between two raters.

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What this paper is about

The kappa coefficient is a widely used statistic for measuring the degree of reliability between raters. SAS ® procedures and macros exist for calculating kappa with two or more raters, but none address situations when the kappa coefficient alone does not sufficiently describe the level of reliability. When the prevalence of a rating in the population is very high or low, the value of kappa may indicate poor reliability even with a high observed proportion of agreement. Researchers have recommended reporting several other values in addition to the kappa to address this and another paradox of the kappa statistic. This program, developed in SAS ® 9.1, calculates kappa, but also outputs the observed and expected proportions of agreement, the prevalence and bias indices, and the prevalence adjusted bias adjusted kappa (PABAK) for two raters. Designed for input of the rater responses in the familiar 2x2 table format using the SAS %WINDOW statement, users with minimal SAS experience will be able to report these statistics to more fully characterize the extent of inter-observer agreement between two raters.

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Available abstract

The kappa coefficient is a widely used statistic for measuring the degree of reliability between raters. SAS ® procedures and macros exist for calculating kappa with two or more raters, but none address situations when the kappa coefficient alone does not sufficiently describe the level of reliability. When the prevalence of a rating in the population is very high or low, the value of kappa may indicate poor reliability even with a high observed proportion of agreement. Researchers have recommended reporting several other values in addition to the kappa to address this and another paradox of the kappa statistic. This program, developed in SAS ® 9.1, calculates kappa, but also outputs the observed and expected proportions of agreement, the prevalence and bias indices, and the prevalence adjusted bias adjusted kappa (PABAK) for two raters. Designed for input of the rater responses in the familiar 2x2 table format using the SAS %WINDOW statement, users with minimal SAS experience will be able to report these statistics to more fully characterize the extent of inter-observer agreement between two raters.

Key concepts: Cohen's kappa, Kappa, Inter-rater reliability, Statistics, Reliability (semiconductor), Statistic, Population, Mathematics

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