Performance Comparison of Independence Tests in Two-Way Contingency Table

Detalhes bibliográficos
Autor(a) principal: Ozturk , Ebru
Data de Publicação: 2023
Outros Autores: Basol, Merve, Goksuluk , Dincer, Karahan , Sevilay
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.57805/revstat.v21i2.403
Resumo: Several test statistics are available for testing the independence of categorical variables from two-way contingency tables. A vast majority of published articles used the Pearson’s chi-squared test for such purposes; however, this test statistic may lead to biased conclusions under certain conditions. Therefore, we aimed to compare the performance of test statistics via a comprehensive simulation study considering several factors in contingency tables. We also evaluated the performance of each test statistic on a real-life dataset. This study contributes to the literature guiding researchers to select an appropriate test statistic under different conditions.
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spelling Performance Comparison of Independence Tests in Two-Way Contingency Tablecontingency tablepowerpower divergencesimulation studytype one errorSeveral test statistics are available for testing the independence of categorical variables from two-way contingency tables. A vast majority of published articles used the Pearson’s chi-squared test for such purposes; however, this test statistic may lead to biased conclusions under certain conditions. Therefore, we aimed to compare the performance of test statistics via a comprehensive simulation study considering several factors in contingency tables. We also evaluated the performance of each test statistic on a real-life dataset. This study contributes to the literature guiding researchers to select an appropriate test statistic under different conditions.Statistics Portugal2023-06-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.57805/revstat.v21i2.403https://doi.org/10.57805/revstat.v21i2.403REVSTAT-Statistical Journal; Vol. 21 No. 2 (2023): REVSTAT-Statistical Journal; 219–233REVSTAT; Vol. 21 N.º 2 (2023): REVSTAT-Statistical Journal; 219–2332183-03711645-6726reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://revstat.ine.pt/index.php/REVSTAT/article/view/403https://revstat.ine.pt/index.php/REVSTAT/article/view/403/640https://revstat.ine.pt/index.php/REVSTAT/article/view/403/544Copyright (c) 2021 REVSTAT-Statistical Journalinfo:eu-repo/semantics/openAccessOzturk , EbruBasol, MerveGoksuluk , DincerKarahan , Sevilay2023-07-01T06:30:13Zoai:revstat:article/403Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:02:13.403466Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Performance Comparison of Independence Tests in Two-Way Contingency Table
title Performance Comparison of Independence Tests in Two-Way Contingency Table
spellingShingle Performance Comparison of Independence Tests in Two-Way Contingency Table
Ozturk , Ebru
contingency table
power
power divergence
simulation study
type one error
title_short Performance Comparison of Independence Tests in Two-Way Contingency Table
title_full Performance Comparison of Independence Tests in Two-Way Contingency Table
title_fullStr Performance Comparison of Independence Tests in Two-Way Contingency Table
title_full_unstemmed Performance Comparison of Independence Tests in Two-Way Contingency Table
title_sort Performance Comparison of Independence Tests in Two-Way Contingency Table
author Ozturk , Ebru
author_facet Ozturk , Ebru
Basol, Merve
Goksuluk , Dincer
Karahan , Sevilay
author_role author
author2 Basol, Merve
Goksuluk , Dincer
Karahan , Sevilay
author2_role author
author
author
dc.contributor.author.fl_str_mv Ozturk , Ebru
Basol, Merve
Goksuluk , Dincer
Karahan , Sevilay
dc.subject.por.fl_str_mv contingency table
power
power divergence
simulation study
type one error
topic contingency table
power
power divergence
simulation study
type one error
description Several test statistics are available for testing the independence of categorical variables from two-way contingency tables. A vast majority of published articles used the Pearson’s chi-squared test for such purposes; however, this test statistic may lead to biased conclusions under certain conditions. Therefore, we aimed to compare the performance of test statistics via a comprehensive simulation study considering several factors in contingency tables. We also evaluated the performance of each test statistic on a real-life dataset. This study contributes to the literature guiding researchers to select an appropriate test statistic under different conditions.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-26
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.57805/revstat.v21i2.403
https://doi.org/10.57805/revstat.v21i2.403
url https://doi.org/10.57805/revstat.v21i2.403
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revstat.ine.pt/index.php/REVSTAT/article/view/403
https://revstat.ine.pt/index.php/REVSTAT/article/view/403/640
https://revstat.ine.pt/index.php/REVSTAT/article/view/403/544
dc.rights.driver.fl_str_mv Copyright (c) 2021 REVSTAT-Statistical Journal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 REVSTAT-Statistical Journal
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Statistics Portugal
publisher.none.fl_str_mv Statistics Portugal
dc.source.none.fl_str_mv REVSTAT-Statistical Journal; Vol. 21 No. 2 (2023): REVSTAT-Statistical Journal; 219–233
REVSTAT; Vol. 21 N.º 2 (2023): REVSTAT-Statistical Journal; 219–233
2183-0371
1645-6726
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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