Statistical results on restorative dentistry experiments: effect of the interaction between main variables

Detalhes bibliográficos
Autor(a) principal: Cavalcanti,Andrea Nóbrega
Data de Publicação: 2010
Outros Autores: Marchi,Giselle Maria, Ambrosano,Gláucia Maria Bovi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of applied oral science (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572010000300010
Resumo: Statistical analysis interpretation is a critical field in scientifc research. When there is more than one main variable being studied in a research, the effect of the interaction between those variables is fundamental on experiments discussion. However, some doubts can occur when the p-value of the interaction is greater than the signifcance level. OBJECTIVE: To determine the most adequate interpretation for factorial experiments with p-values of the interaction nearly higher than the signifcance level. MATERIALS AND METHODS: The p-values of the interactions found in two restorative dentistry experiments (0.053 and 0.068) were interpreted in two distinct ways: considering the interaction as not signifcant and as signifcant. RESULTS: Different findings were observed between the two analyses, and studies results became more coherent when the signifcant interaction was used. CONCLUSION: The p-value of the interaction between main variables must be analyzed with caution because it can change the outcomes of research studies. Researchers are strongly advised to interpret carefully the results of their statistical analysis in order to discuss the findings of their experiments properly.
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spelling Statistical results on restorative dentistry experiments: effect of the interaction between main variablesBiostatisticsDental researchAnalysis of varianceStatistical analysis interpretation is a critical field in scientifc research. When there is more than one main variable being studied in a research, the effect of the interaction between those variables is fundamental on experiments discussion. However, some doubts can occur when the p-value of the interaction is greater than the signifcance level. OBJECTIVE: To determine the most adequate interpretation for factorial experiments with p-values of the interaction nearly higher than the signifcance level. MATERIALS AND METHODS: The p-values of the interactions found in two restorative dentistry experiments (0.053 and 0.068) were interpreted in two distinct ways: considering the interaction as not signifcant and as signifcant. RESULTS: Different findings were observed between the two analyses, and studies results became more coherent when the signifcant interaction was used. CONCLUSION: The p-value of the interaction between main variables must be analyzed with caution because it can change the outcomes of research studies. Researchers are strongly advised to interpret carefully the results of their statistical analysis in order to discuss the findings of their experiments properly.Faculdade De Odontologia De Bauru - USP2010-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572010000300010Journal of Applied Oral Science v.18 n.3 2010reponame:Journal of applied oral science (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S1678-77572010000300010info:eu-repo/semantics/openAccessCavalcanti,Andrea NóbregaMarchi,Giselle MariaAmbrosano,Gláucia Maria Bovieng2010-08-31T00:00:00Zoai:scielo:S1678-77572010000300010Revistahttp://www.scielo.br/jaosPUBhttps://old.scielo.br/oai/scielo-oai.php||jaos@usp.br1678-77651678-7757opendoar:2010-08-31T00:00Journal of applied oral science (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Statistical results on restorative dentistry experiments: effect of the interaction between main variables
title Statistical results on restorative dentistry experiments: effect of the interaction between main variables
spellingShingle Statistical results on restorative dentistry experiments: effect of the interaction between main variables
Cavalcanti,Andrea Nóbrega
Biostatistics
Dental research
Analysis of variance
title_short Statistical results on restorative dentistry experiments: effect of the interaction between main variables
title_full Statistical results on restorative dentistry experiments: effect of the interaction between main variables
title_fullStr Statistical results on restorative dentistry experiments: effect of the interaction between main variables
title_full_unstemmed Statistical results on restorative dentistry experiments: effect of the interaction between main variables
title_sort Statistical results on restorative dentistry experiments: effect of the interaction between main variables
author Cavalcanti,Andrea Nóbrega
author_facet Cavalcanti,Andrea Nóbrega
Marchi,Giselle Maria
Ambrosano,Gláucia Maria Bovi
author_role author
author2 Marchi,Giselle Maria
Ambrosano,Gláucia Maria Bovi
author2_role author
author
dc.contributor.author.fl_str_mv Cavalcanti,Andrea Nóbrega
Marchi,Giselle Maria
Ambrosano,Gláucia Maria Bovi
dc.subject.por.fl_str_mv Biostatistics
Dental research
Analysis of variance
topic Biostatistics
Dental research
Analysis of variance
description Statistical analysis interpretation is a critical field in scientifc research. When there is more than one main variable being studied in a research, the effect of the interaction between those variables is fundamental on experiments discussion. However, some doubts can occur when the p-value of the interaction is greater than the signifcance level. OBJECTIVE: To determine the most adequate interpretation for factorial experiments with p-values of the interaction nearly higher than the signifcance level. MATERIALS AND METHODS: The p-values of the interactions found in two restorative dentistry experiments (0.053 and 0.068) were interpreted in two distinct ways: considering the interaction as not signifcant and as signifcant. RESULTS: Different findings were observed between the two analyses, and studies results became more coherent when the signifcant interaction was used. CONCLUSION: The p-value of the interaction between main variables must be analyzed with caution because it can change the outcomes of research studies. Researchers are strongly advised to interpret carefully the results of their statistical analysis in order to discuss the findings of their experiments properly.
publishDate 2010
dc.date.none.fl_str_mv 2010-06-01
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=S1678-77572010000300010
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1678-77572010000300010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade De Odontologia De Bauru - USP
publisher.none.fl_str_mv Faculdade De Odontologia De Bauru - USP
dc.source.none.fl_str_mv Journal of Applied Oral Science v.18 n.3 2010
reponame:Journal of applied oral science (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Journal of applied oral science (Online)
collection Journal of applied oral science (Online)
repository.name.fl_str_mv Journal of applied oral science (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||jaos@usp.br
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