Latent growth curve modelling of Portuguese life satisfaction trajectories
Autor(a) principal: | |
---|---|
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 |
id |
RCAP_c501e72c3e03949393ada64204757a8c |
---|---|
oai_identifier_str |
oai:repositorio.iscte-iul.pt:10071/10567 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ciencia.iscte-iul.pt/public/pub/id/9478 http://hdl.handle.net/10071/10567 |
url |
https://ciencia.iscte-iul.pt/public/pub/id/9478 http://hdl.handle.net/10071/10567 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2075-4124 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Progress IPS LLC |
publisher.none.fl_str_mv |
Progress IPS LLC |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134667243257856 |