Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them

Detalhes bibliográficos
Autor(a) principal: Kozak,Marcin
Data de Publicação: 2012
Outros Autores: Krzanowski,Wojtek, Tartanus,MaŁgorzata
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652012000400029
Resumo: This paper discusses a number of aspects concerning the analysis, interpretation and reporting of correlations in agricultural sciences. Various problems that one might encounter with these aspects are identified, and suggestions of how to overcome these problems are proposed. Some of the examples presented show how mistaken and even misleading the interpretation of correlation can be when one ignores simple rules of analysis.
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spelling Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with themexperimental designlinearitypath analysisSimpson's paradoxstatistical analysisThis paper discusses a number of aspects concerning the analysis, interpretation and reporting of correlations in agricultural sciences. Various problems that one might encounter with these aspects are identified, and suggestions of how to overcome these problems are proposed. Some of the examples presented show how mistaken and even misleading the interpretation of correlation can be when one ignores simple rules of analysis.Academia Brasileira de Ciências2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652012000400029Anais da Academia Brasileira de Ciências v.84 n.4 2012reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652012000400029info:eu-repo/semantics/openAccessKozak,MarcinKrzanowski,WojtekTartanus,MaŁgorzataeng2012-11-29T00:00:00Zoai:scielo:S0001-37652012000400029Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2012-11-29T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
title Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
spellingShingle Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
Kozak,Marcin
experimental design
linearity
path analysis
Simpson's paradox
statistical analysis
title_short Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
title_full Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
title_fullStr Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
title_full_unstemmed Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
title_sort Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them
author Kozak,Marcin
author_facet Kozak,Marcin
Krzanowski,Wojtek
Tartanus,MaŁgorzata
author_role author
author2 Krzanowski,Wojtek
Tartanus,MaŁgorzata
author2_role author
author
dc.contributor.author.fl_str_mv Kozak,Marcin
Krzanowski,Wojtek
Tartanus,MaŁgorzata
dc.subject.por.fl_str_mv experimental design
linearity
path analysis
Simpson's paradox
statistical analysis
topic experimental design
linearity
path analysis
Simpson's paradox
statistical analysis
description This paper discusses a number of aspects concerning the analysis, interpretation and reporting of correlations in agricultural sciences. Various problems that one might encounter with these aspects are identified, and suggestions of how to overcome these problems are proposed. Some of the examples presented show how mistaken and even misleading the interpretation of correlation can be when one ignores simple rules of analysis.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652012000400029
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652012000400029
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0001-37652012000400029
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.84 n.4 2012
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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