Asymptotic variability of (multilevel) multirater kappa coefficients.

Agreement studies are of paramount importance in various scientific domains. When several observers classify objects on categorical scales, agreement can be quantified through multirater kappa coefficients. In most statistical packages, the standard error of these coefficients is only available unde...

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Detalles Bibliográficos
Publicado en:Statistical Methods in Medical Research Vol. 28; no. 10/11; pp. 3012 - 3027
Autor principal: Vanbelle, Sophie
Formato: equations & formulas research tables/charts Journal Article
Publicado: Sage Publications Inc. Oct/Nov2019
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Agreement studies are of paramount importance in various scientific domains. When several observers classify objects on categorical scales, agreement can be quantified through multirater kappa coefficients. In most statistical packages, the standard error of these coefficients is only available under the null hypothesis that the coefficient is equal to zero, preventing the construction of confidence intervals in the general case. The aim of this paper is triple. First, simple analytic formulae for the standard error of multirater kappa coefficients will be given in the general case. Second, these formulae will be extended to the case of multilevel data structures. The formulae are based on simple matrix algebra and are implemented in the R package "multiagree". Third, guidelines on the choice between the different mulitrater kappa coefficients will be provided.