Statistical results on restorative dentistry experiments: effect of the interaction between main variables
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
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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Journal of applied oral science (Online) |
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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572010000300010 |
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 |
eu_rights_str_mv |
openAccess |
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 |
_version_ |
1748936436077297664 |