Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil

Detalhes bibliográficos
Autor(a) principal: Souza,Marília Silva de
Data de Publicação: 2018
Outros Autores: Araújo,Jaciana Marlova Gonçalves, Souza,Luciano Dias de Mattos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência & Saúde Coletiva (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018001103947
Resumo: Abstract Smoking accounts for 24% of deaths in the general population and is also the factor that explains the biggest amount of years of life lost. It is important to understand the expectations regarding smoking behavior. The present study aimed to validate the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for a Brazilian version. The Researchers did the process of semantic adaptation to language and national context. The S-SCQ was applied in a sample of 129 people. The next step was to perform psychometric analyses for the set of 21 items. Exploratory Factor Analysis, with pairwise treatment for missing cases, was used to achieve construct validity. To carry out Factor Analysis, the method of Principal Component Analysis (PCA) was used initially. Afterwards, Principal Axis Factoring (PAF) using Varimax rotation with Kaiser normalization was applied. The reliability of the total scale (21 items) showed a Cronbach alpha index of 0.851 and a 0.870 Lambda2 of Gutmann. Quite satisfactory rates were also observed in the subscales. Similarly, the item-overall correlation values also confirmed the scale’s good reliability indices.
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spelling Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for BrazilBrazilSmokingPsychometricsValidation studiesAbstract Smoking accounts for 24% of deaths in the general population and is also the factor that explains the biggest amount of years of life lost. It is important to understand the expectations regarding smoking behavior. The present study aimed to validate the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for a Brazilian version. The Researchers did the process of semantic adaptation to language and national context. The S-SCQ was applied in a sample of 129 people. The next step was to perform psychometric analyses for the set of 21 items. Exploratory Factor Analysis, with pairwise treatment for missing cases, was used to achieve construct validity. To carry out Factor Analysis, the method of Principal Component Analysis (PCA) was used initially. Afterwards, Principal Axis Factoring (PAF) using Varimax rotation with Kaiser normalization was applied. The reliability of the total scale (21 items) showed a Cronbach alpha index of 0.851 and a 0.870 Lambda2 of Gutmann. Quite satisfactory rates were also observed in the subscales. Similarly, the item-overall correlation values also confirmed the scale’s good reliability indices.ABRASCO - Associação Brasileira de Saúde Coletiva2018-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018001103947Ciência & Saúde Coletiva v.23 n.11 2018reponame:Ciência & Saúde Coletiva (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1413-812320182311.09612016info:eu-repo/semantics/openAccessSouza,Marília Silva deAraújo,Jaciana Marlova GonçalvesSouza,Luciano Dias de Mattoseng2018-11-26T00:00:00Zoai:scielo:S1413-81232018001103947Revistahttp://www.cienciaesaudecoletiva.com.brhttps://old.scielo.br/oai/scielo-oai.php||cienciasaudecoletiva@fiocruz.br1678-45611413-8123opendoar:2018-11-26T00:00Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
title Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
spellingShingle Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
Souza,Marília Silva de
Brazil
Smoking
Psychometrics
Validation studies
title_short Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
title_full Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
title_fullStr Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
title_full_unstemmed Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
title_sort Psychometric Validation of the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for Brazil
author Souza,Marília Silva de
author_facet Souza,Marília Silva de
Araújo,Jaciana Marlova Gonçalves
Souza,Luciano Dias de Mattos
author_role author
author2 Araújo,Jaciana Marlova Gonçalves
Souza,Luciano Dias de Mattos
author2_role author
author
dc.contributor.author.fl_str_mv Souza,Marília Silva de
Araújo,Jaciana Marlova Gonçalves
Souza,Luciano Dias de Mattos
dc.subject.por.fl_str_mv Brazil
Smoking
Psychometrics
Validation studies
topic Brazil
Smoking
Psychometrics
Validation studies
description Abstract Smoking accounts for 24% of deaths in the general population and is also the factor that explains the biggest amount of years of life lost. It is important to understand the expectations regarding smoking behavior. The present study aimed to validate the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for a Brazilian version. The Researchers did the process of semantic adaptation to language and national context. The S-SCQ was applied in a sample of 129 people. The next step was to perform psychometric analyses for the set of 21 items. Exploratory Factor Analysis, with pairwise treatment for missing cases, was used to achieve construct validity. To carry out Factor Analysis, the method of Principal Component Analysis (PCA) was used initially. Afterwards, Principal Axis Factoring (PAF) using Varimax rotation with Kaiser normalization was applied. The reliability of the total scale (21 items) showed a Cronbach alpha index of 0.851 and a 0.870 Lambda2 of Gutmann. Quite satisfactory rates were also observed in the subscales. Similarly, the item-overall correlation values also confirmed the scale’s good reliability indices.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-01
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=S1413-81232018001103947
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232018001103947
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-812320182311.09612016
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 ABRASCO - Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv ABRASCO - Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Ciência & Saúde Coletiva v.23 n.11 2018
reponame:Ciência & Saúde Coletiva (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
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reponame_str Ciência & Saúde Coletiva (Online)
collection Ciência & Saúde Coletiva (Online)
repository.name.fl_str_mv Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||cienciasaudecoletiva@fiocruz.br
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