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On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions
We discuss properties that association coefficients may have in general, e.g., zero value under statistical independence, and we examine coefficients for 2×2 tables with respect to these properties. Furthermore, we study a family of coefficients that are linear transformations of the observed propor...
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Formato: | Texto |
Lenguaje: | English |
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Springer-Verlag
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798022/ https://www.ncbi.nlm.nih.gov/pubmed/20046834 http://dx.doi.org/10.1007/s11336-008-9070-3 |
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author | Warrens, Matthijs J. |
author_facet | Warrens, Matthijs J. |
author_sort | Warrens, Matthijs J. |
collection | PubMed |
description | We discuss properties that association coefficients may have in general, e.g., zero value under statistical independence, and we examine coefficients for 2×2 tables with respect to these properties. Furthermore, we study a family of coefficients that are linear transformations of the observed proportion of agreement given the marginal probabilities. This family includes the phi coefficient and Cohen’s kappa. The main result is that the linear transformations that set the value under independence at zero and the maximum value at unity, transform all coefficients in this family into the same underlying coefficient. This coefficient happens to be Loevinger’s H. |
format | Text |
id | pubmed-2798022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-27980222009-12-29 On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions Warrens, Matthijs J. Psychometrika Article We discuss properties that association coefficients may have in general, e.g., zero value under statistical independence, and we examine coefficients for 2×2 tables with respect to these properties. Furthermore, we study a family of coefficients that are linear transformations of the observed proportion of agreement given the marginal probabilities. This family includes the phi coefficient and Cohen’s kappa. The main result is that the linear transformations that set the value under independence at zero and the maximum value at unity, transform all coefficients in this family into the same underlying coefficient. This coefficient happens to be Loevinger’s H. Springer-Verlag 2008-07-23 2008 /pmc/articles/PMC2798022/ /pubmed/20046834 http://dx.doi.org/10.1007/s11336-008-9070-3 Text en © The Author(s) 2008 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Warrens, Matthijs J. On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title | On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title_full | On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title_fullStr | On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title_full_unstemmed | On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title_short | On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions |
title_sort | on association coefficients for 2×2 tables and properties that do not depend on the marginal distributions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798022/ https://www.ncbi.nlm.nih.gov/pubmed/20046834 http://dx.doi.org/10.1007/s11336-008-9070-3 |
work_keys_str_mv | AT warrensmatthijsj onassociationcoefficientsfor22tablesandpropertiesthatdonotdependonthemarginaldistributions |