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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745615/ https://www.ncbi.nlm.nih.gov/pubmed/30132375 http://dx.doi.org/10.1177/0962280218794733 |
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author | Vanbelle, Sophie |
author_facet | Vanbelle, Sophie |
author_sort | Vanbelle, Sophie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6745615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67456152019-10-03 Asymptotic variability of (multilevel) multirater kappa coefficients Vanbelle, Sophie Stat Methods Med Res Articles 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. SAGE Publications 2018-08-22 2019-11 /pmc/articles/PMC6745615/ /pubmed/30132375 http://dx.doi.org/10.1177/0962280218794733 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Articles Vanbelle, Sophie Asymptotic variability of (multilevel) multirater kappa coefficients |
title | Asymptotic variability of (multilevel) multirater kappa
coefficients |
title_full | Asymptotic variability of (multilevel) multirater kappa
coefficients |
title_fullStr | Asymptotic variability of (multilevel) multirater kappa
coefficients |
title_full_unstemmed | Asymptotic variability of (multilevel) multirater kappa
coefficients |
title_short | Asymptotic variability of (multilevel) multirater kappa
coefficients |
title_sort | asymptotic variability of (multilevel) multirater kappa
coefficients |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745615/ https://www.ncbi.nlm.nih.gov/pubmed/30132375 http://dx.doi.org/10.1177/0962280218794733 |
work_keys_str_mv | AT vanbellesophie asymptoticvariabilityofmultilevelmultiraterkappacoefficients |