Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients

Detalhes bibliográficos
Autor(a) principal: Azevedo,Flávia Barros de
Data de Publicação: 2010
Outros Autores: Wang,Yuan-Pang, Goulart,Alessandra Carvalho, Lotufo,Paulo Andrade, Benseñor,Isabela Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de neuro-psiquiatria (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2010000200015
Resumo: OBJECTIVE: To examine the factor structure of the Portuguese version of State-Trait Anger Expression Inventory (STAXI) in clinical patients. METHOD: 400 subjects from an internal medicine outpatient unit and 200 from a medical ward were recruited. Patients answered questions about clinical data, the STAXI, and the Beck Depression Inventory (BDI). Raw score of the STAXI was submitted to reliability assessment and factor analysis. RESULTS: Internal consistency using the Cronbach's alpha coefficient was of 0.84. The STAXI significantly correlated with BDI at r=0.352 (p<0.01). The final solution of Principal Component Analysis identified five meaningful factors: Trait-Anger, State-Anger, Anger-Control, Anger-Out, and Anger-In. This structural model is close to the original theoretical construct of Spielberger's STAXI. CONCLUSION: The Portuguese version of STAXI presented an adequate factorial structure that permits the evaluation of anger dimensions among clinical patients.
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spelling Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patientsangerpsychometric scalefactor analysisclinical patientOBJECTIVE: To examine the factor structure of the Portuguese version of State-Trait Anger Expression Inventory (STAXI) in clinical patients. METHOD: 400 subjects from an internal medicine outpatient unit and 200 from a medical ward were recruited. Patients answered questions about clinical data, the STAXI, and the Beck Depression Inventory (BDI). Raw score of the STAXI was submitted to reliability assessment and factor analysis. RESULTS: Internal consistency using the Cronbach's alpha coefficient was of 0.84. The STAXI significantly correlated with BDI at r=0.352 (p<0.01). The final solution of Principal Component Analysis identified five meaningful factors: Trait-Anger, State-Anger, Anger-Control, Anger-Out, and Anger-In. This structural model is close to the original theoretical construct of Spielberger's STAXI. CONCLUSION: The Portuguese version of STAXI presented an adequate factorial structure that permits the evaluation of anger dimensions among clinical patients.Academia Brasileira de Neurologia - ABNEURO2010-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2010000200015Arquivos de Neuro-Psiquiatria v.68 n.2 2010reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/S0004-282X2010000200015info:eu-repo/semantics/openAccessAzevedo,Flávia Barros deWang,Yuan-PangGoulart,Alessandra CarvalhoLotufo,Paulo AndradeBenseñor,Isabela Martinseng2010-04-28T00:00:00Zoai:scielo:S0004-282X2010000200015Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2010-04-28T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse
dc.title.none.fl_str_mv Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
title Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
spellingShingle Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
Azevedo,Flávia Barros de
anger
psychometric scale
factor analysis
clinical patient
title_short Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
title_full Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
title_fullStr Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
title_full_unstemmed Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
title_sort Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
author Azevedo,Flávia Barros de
author_facet Azevedo,Flávia Barros de
Wang,Yuan-Pang
Goulart,Alessandra Carvalho
Lotufo,Paulo Andrade
Benseñor,Isabela Martins
author_role author
author2 Wang,Yuan-Pang
Goulart,Alessandra Carvalho
Lotufo,Paulo Andrade
Benseñor,Isabela Martins
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Azevedo,Flávia Barros de
Wang,Yuan-Pang
Goulart,Alessandra Carvalho
Lotufo,Paulo Andrade
Benseñor,Isabela Martins
dc.subject.por.fl_str_mv anger
psychometric scale
factor analysis
clinical patient
topic anger
psychometric scale
factor analysis
clinical patient
description OBJECTIVE: To examine the factor structure of the Portuguese version of State-Trait Anger Expression Inventory (STAXI) in clinical patients. METHOD: 400 subjects from an internal medicine outpatient unit and 200 from a medical ward were recruited. Patients answered questions about clinical data, the STAXI, and the Beck Depression Inventory (BDI). Raw score of the STAXI was submitted to reliability assessment and factor analysis. RESULTS: Internal consistency using the Cronbach's alpha coefficient was of 0.84. The STAXI significantly correlated with BDI at r=0.352 (p<0.01). The final solution of Principal Component Analysis identified five meaningful factors: Trait-Anger, State-Anger, Anger-Control, Anger-Out, and Anger-In. This structural model is close to the original theoretical construct of Spielberger's STAXI. CONCLUSION: The Portuguese version of STAXI presented an adequate factorial structure that permits the evaluation of anger dimensions among clinical patients.
publishDate 2010
dc.date.none.fl_str_mv 2010-04-01
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=S0004-282X2010000200015
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2010000200015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0004-282X2010000200015
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 Neurologia - ABNEURO
publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
dc.source.none.fl_str_mv Arquivos de Neuro-Psiquiatria v.68 n.2 2010
reponame:Arquivos de neuro-psiquiatria (Online)
instname:Academia Brasileira de Neurologia
instacron:ABNEURO
instname_str Academia Brasileira de Neurologia
instacron_str ABNEURO
institution ABNEURO
reponame_str Arquivos de neuro-psiquiatria (Online)
collection Arquivos de neuro-psiquiatria (Online)
repository.name.fl_str_mv Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia
repository.mail.fl_str_mv ||revista.arquivos@abneuro.org
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