Latent growth curve modeling of psychological well-being trajectories

Detalhes bibliográficos
Autor(a) principal: Salgueiro, M. F.
Data de Publicação: 2013
Outros Autores: Malta, J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://ciencia.iscte-iul.pt/public/pub/id/15089
http://hdl.handle.net/10071/10566
Resumo: This Paper Proposes Modeling Trajectories of Psychological Well-being Using Latent Growth Curve models (LGCMs). The psychometric scale of the General Health Questionnaire-12 (GHQ-12) is considered. Data from the British Household Panel Survey (BHPS), from years 2003 to 2006 are used. In 1991 Graetz proposed the GHQ-12 as a multidimensional scale, containing three distinct dimensions: anxiety and depression, social dysfunction and loss of confidence. Using such scale, this paper compares a second-order LGCM for the trajectories of a latent factor (measured by these three dimensions) with a LGCM for the trajectories of an overall sum score. Conditional LGCMs are then fitted; sex, age group and perceived health status are considered as the explanatory variables of the growth trajectories. Results show that the model which considers the three dimensions of subjective well-being has a larger explaining capability than the one utilizing the subjective well-being score.
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spelling Latent growth curve modeling of psychological well-being trajectoriesBritish household panelGeneral health questionnaire 12Latent growth curve modelLongitudinal data analysisThis Paper Proposes Modeling Trajectories of Psychological Well-being Using Latent Growth Curve models (LGCMs). The psychometric scale of the General Health Questionnaire-12 (GHQ-12) is considered. Data from the British Household Panel Survey (BHPS), from years 2003 to 2006 are used. In 1991 Graetz proposed the GHQ-12 as a multidimensional scale, containing three distinct dimensions: anxiety and depression, social dysfunction and loss of confidence. Using such scale, this paper compares a second-order LGCM for the trajectories of a latent factor (measured by these three dimensions) with a LGCM for the trajectories of an overall sum score. Conditional LGCMs are then fitted; sex, age group and perceived health status are considered as the explanatory variables of the growth trajectories. Results show that the model which considers the three dimensions of subjective well-being has a larger explaining capability than the one utilizing the subjective well-being score.Science Publishing Group2016-01-07T12:21:42Z2013-01-01T00:00:00Z20132016-01-07T12:19:58Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/15089http://hdl.handle.net/10071/10566eng2326-8999Salgueiro, M. F.Malta, J.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:44:35Zoai:repositorio.iscte-iul.pt:10071/10566Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:21:11.132535Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Latent growth curve modeling of psychological well-being trajectories
title Latent growth curve modeling of psychological well-being trajectories
spellingShingle Latent growth curve modeling of psychological well-being trajectories
Salgueiro, M. F.
British household panel
General health questionnaire 12
Latent growth curve model
Longitudinal data analysis
title_short Latent growth curve modeling of psychological well-being trajectories
title_full Latent growth curve modeling of psychological well-being trajectories
title_fullStr Latent growth curve modeling of psychological well-being trajectories
title_full_unstemmed Latent growth curve modeling of psychological well-being trajectories
title_sort Latent growth curve modeling of psychological well-being trajectories
author Salgueiro, M. F.
author_facet Salgueiro, M. F.
Malta, J.
author_role author
author2 Malta, J.
author2_role author
dc.contributor.author.fl_str_mv Salgueiro, M. F.
Malta, J.
dc.subject.por.fl_str_mv British household panel
General health questionnaire 12
Latent growth curve model
Longitudinal data analysis
topic British household panel
General health questionnaire 12
Latent growth curve model
Longitudinal data analysis
description This Paper Proposes Modeling Trajectories of Psychological Well-being Using Latent Growth Curve models (LGCMs). The psychometric scale of the General Health Questionnaire-12 (GHQ-12) is considered. Data from the British Household Panel Survey (BHPS), from years 2003 to 2006 are used. In 1991 Graetz proposed the GHQ-12 as a multidimensional scale, containing three distinct dimensions: anxiety and depression, social dysfunction and loss of confidence. Using such scale, this paper compares a second-order LGCM for the trajectories of a latent factor (measured by these three dimensions) with a LGCM for the trajectories of an overall sum score. Conditional LGCMs are then fitted; sex, age group and perceived health status are considered as the explanatory variables of the growth trajectories. Results show that the model which considers the three dimensions of subjective well-being has a larger explaining capability than the one utilizing the subjective well-being score.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01T00:00:00Z
2013
2016-01-07T12:21:42Z
2016-01-07T12:19:58Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ciencia.iscte-iul.pt/public/pub/id/15089
http://hdl.handle.net/10071/10566
url https://ciencia.iscte-iul.pt/public/pub/id/15089
http://hdl.handle.net/10071/10566
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Science Publishing Group
publisher.none.fl_str_mv Science Publishing Group
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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