Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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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Arquivos de neuro-psiquiatria (Online) |
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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 |
_version_ |
1754212768305643520 |