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cocor: A Comprehensive Solution for the Statistical Comparison of Correlations

A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we...

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Detalles Bibliográficos
Autores principales: Diedenhofen, Birk, Musch, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383486/
https://www.ncbi.nlm.nih.gov/pubmed/25835001
http://dx.doi.org/10.1371/journal.pone.0121945
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author Diedenhofen, Birk
Musch, Jochen
author_facet Diedenhofen, Birk
Musch, Jochen
author_sort Diedenhofen, Birk
collection PubMed
description A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool.
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spelling pubmed-43834862015-04-09 cocor: A Comprehensive Solution for the Statistical Comparison of Correlations Diedenhofen, Birk Musch, Jochen PLoS One Research Article A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool. Public Library of Science 2015-04-02 /pmc/articles/PMC4383486/ /pubmed/25835001 http://dx.doi.org/10.1371/journal.pone.0121945 Text en © 2015 Diedenhofen, Musch http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Diedenhofen, Birk
Musch, Jochen
cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title_full cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title_fullStr cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title_full_unstemmed cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title_short cocor: A Comprehensive Solution for the Statistical Comparison of Correlations
title_sort cocor: a comprehensive solution for the statistical comparison of correlations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383486/
https://www.ncbi.nlm.nih.gov/pubmed/25835001
http://dx.doi.org/10.1371/journal.pone.0121945
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