Normal science and its tools: Reviewing the effects of exploratory factor analysis in management

Detalhes bibliográficos
Autor(a) principal: Rossoni,Luciano
Data de Publicação: 2016
Outros Autores: Engelbert,Ricardo, Bellegard,Ney Luiz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Administração (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-21072016000200198
Resumo: ABSTRACT The aim of this study is to investigate how different methods of extraction, factor definition, and rotation of exploratory factor analysis affect the fit of measurement scales. For this purpose, we undertook a meta-analysis of 23 studies. Our results indicate that the Principal Components method provides greater explained variance, while the Maximum Likelihood method increases reliability. Of the rotations methods, Varimax provides greater reliability while Quartimax provides lower correlation between factors. In conclusion, this study highlights implications for quantitative research and suggests potential new studies.
id USP-27_4d24aa65ab187f1c4ffbb8e9bb59a621
oai_identifier_str oai:scielo:S0080-21072016000200198
network_acronym_str USP-27
network_name_str Revista de Administração (São Paulo)
repository_id_str
spelling Normal science and its tools: Reviewing the effects of exploratory factor analysis in managementexploratory factor analysisreliabilityquantitative methodssurveyABSTRACT The aim of this study is to investigate how different methods of extraction, factor definition, and rotation of exploratory factor analysis affect the fit of measurement scales. For this purpose, we undertook a meta-analysis of 23 studies. Our results indicate that the Principal Components method provides greater explained variance, while the Maximum Likelihood method increases reliability. Of the rotations methods, Varimax provides greater reliability while Quartimax provides lower correlation between factors. In conclusion, this study highlights implications for quantitative research and suggests potential new studies.Departamento de Administração da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-21072016000200198Revista de Administração (São Paulo) v.51 n.2 2016reponame:Revista de Administração (São Paulo)instname:Universidade de São Paulo (USP)instacron:USP10.5700/rausp1234info:eu-repo/semantics/openAccessRossoni,LucianoEngelbert,RicardoBellegard,Ney Luizeng2016-06-21T00:00:00Zoai:scielo:S0080-21072016000200198Revistahttp://rausp.usp.br/PUBhttps://old.scielo.br/oai/scielo-oai.phprausp@usp.br||reinhard@usp.br1984-61420080-2107opendoar:2016-06-21T00:00Revista de Administração (São Paulo) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
title Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
spellingShingle Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
Rossoni,Luciano
exploratory factor analysis
reliability
quantitative methods
survey
title_short Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
title_full Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
title_fullStr Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
title_full_unstemmed Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
title_sort Normal science and its tools: Reviewing the effects of exploratory factor analysis in management
author Rossoni,Luciano
author_facet Rossoni,Luciano
Engelbert,Ricardo
Bellegard,Ney Luiz
author_role author
author2 Engelbert,Ricardo
Bellegard,Ney Luiz
author2_role author
author
dc.contributor.author.fl_str_mv Rossoni,Luciano
Engelbert,Ricardo
Bellegard,Ney Luiz
dc.subject.por.fl_str_mv exploratory factor analysis
reliability
quantitative methods
survey
topic exploratory factor analysis
reliability
quantitative methods
survey
description ABSTRACT The aim of this study is to investigate how different methods of extraction, factor definition, and rotation of exploratory factor analysis affect the fit of measurement scales. For this purpose, we undertook a meta-analysis of 23 studies. Our results indicate that the Principal Components method provides greater explained variance, while the Maximum Likelihood method increases reliability. Of the rotations methods, Varimax provides greater reliability while Quartimax provides lower correlation between factors. In conclusion, this study highlights implications for quantitative research and suggests potential new studies.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
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=S0080-21072016000200198
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-21072016000200198
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5700/rausp1234
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 Departamento de Administração da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo
publisher.none.fl_str_mv Departamento de Administração da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Administração (São Paulo) v.51 n.2 2016
reponame:Revista de Administração (São Paulo)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Administração (São Paulo)
collection Revista de Administração (São Paulo)
repository.name.fl_str_mv Revista de Administração (São Paulo) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv rausp@usp.br||reinhard@usp.br
_version_ 1748936717214154752

Registros relacionados