Latent growth curve modelling of Portuguese life satisfaction trajectories

Detalhes bibliográficos
Autor(a) principal: Salgueiro, M.F.
Data de Publicação: 2010
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/9478
http://hdl.handle.net/10071/10567
Resumo: This paper proposes using latent growth curve models (LGCMs) to model life satisfaction growth trajectories. Portuguese data from the European Community Household Panel (ECHP) are used. The eight waves for which the data are available (years 1994 to 2001) are considered. The four life satisfaction variables under analysis include satisfaction with: work or main activity, financial situation, housing situation, and amount of leisure time. In order to explain growth trajectories, eight possible determinants of life satisfaction are included in the model as time-invariant covariates: age, gender, education, marital status, perceived health status, income, number of working hours and job status
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spelling Latent growth curve modelling of Portuguese life satisfaction trajectoriesECHPLife satisfactionLatent growth curve modelLongitudinal dataThis paper proposes using latent growth curve models (LGCMs) to model life satisfaction growth trajectories. Portuguese data from the European Community Household Panel (ECHP) are used. The eight waves for which the data are available (years 1994 to 2001) are considered. The four life satisfaction variables under analysis include satisfaction with: work or main activity, financial situation, housing situation, and amount of leisure time. In order to explain growth trajectories, eight possible determinants of life satisfaction are included in the model as time-invariant covariates: age, gender, education, marital status, perceived health status, income, number of working hours and job statusProgress IPS LLC2016-01-07T12:30:06Z2010-01-01T00:00:00Z20102016-01-07T12:27:52Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/9478http://hdl.handle.net/10071/10567eng2075-4124Salgueiro, M.F.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:24:51Zoai:repositorio.iscte-iul.pt:10071/10567Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:11:16.983336Repositório 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 modelling of Portuguese life satisfaction trajectories
title Latent growth curve modelling of Portuguese life satisfaction trajectories
spellingShingle Latent growth curve modelling of Portuguese life satisfaction trajectories
Salgueiro, M.F.
ECHP
Life satisfaction
Latent growth curve model
Longitudinal data
title_short Latent growth curve modelling of Portuguese life satisfaction trajectories
title_full Latent growth curve modelling of Portuguese life satisfaction trajectories
title_fullStr Latent growth curve modelling of Portuguese life satisfaction trajectories
title_full_unstemmed Latent growth curve modelling of Portuguese life satisfaction trajectories
title_sort Latent growth curve modelling of Portuguese life satisfaction trajectories
author Salgueiro, M.F.
author_facet Salgueiro, M.F.
author_role author
dc.contributor.author.fl_str_mv Salgueiro, M.F.
dc.subject.por.fl_str_mv ECHP
Life satisfaction
Latent growth curve model
Longitudinal data
topic ECHP
Life satisfaction
Latent growth curve model
Longitudinal data
description This paper proposes using latent growth curve models (LGCMs) to model life satisfaction growth trajectories. Portuguese data from the European Community Household Panel (ECHP) are used. The eight waves for which the data are available (years 1994 to 2001) are considered. The four life satisfaction variables under analysis include satisfaction with: work or main activity, financial situation, housing situation, and amount of leisure time. In order to explain growth trajectories, eight possible determinants of life satisfaction are included in the model as time-invariant covariates: age, gender, education, marital status, perceived health status, income, number of working hours and job status
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010
2016-01-07T12:30:06Z
2016-01-07T12:27:52Z
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dc.identifier.uri.fl_str_mv https://ciencia.iscte-iul.pt/public/pub/id/9478
http://hdl.handle.net/10071/10567
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http://hdl.handle.net/10071/10567
dc.language.iso.fl_str_mv eng
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