Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/9810
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Salgueiro, M. F. | - |
dc.contributor.author | Smith, P. W. F. | - |
dc.contributor.author | Vieira, M. D. T. | - |
dc.date.accessioned | 2015-09-17T16:06:18Z | - |
dc.date.available | 2015-09-17T16:06:18Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0033-5177 | por |
dc.identifier.uri | https://ciencia.iscte-iul.pt/public/pub/id/310 | - |
dc.identifier.uri | http://hdl.handle.net/10071/9810 | - |
dc.description | WOS:000313802300007 (Nº de Acesso Web of Science) | - |
dc.description.abstract | This article proposes a new approach to modelling longitudinal perceptions of subjective well-being (SWB). Several measures have been proposed in the literature to assess SWB and its determinants. Statistical approaches adopted include ordered probit models, fixed and random effects models and cross-lagged structural equation models. The British Household Panel Survey (BHPS) is a longitudinal national representative survey and contains several measures of SWB. Using BHPS data from 2002 to 2005, this article considers two main latent dimensions of life satisfaction: satisfaction with leisure and satisfaction with material issues. The latent trajectories of these two latent life satisfaction dimensions are simultaneously modeled in Mplus, using a multi-process, second-order latent growth curve model. Significant determinants of leisure and material satisfaction growth trajectories include socio-demographic characteristics, number of children in the household, number of hours worked per week, income and perceived health status. | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.rights | embargoedAccess | por |
dc.subject | BHPS | por |
dc.subject | Complex survey design | por |
dc.subject | Latent growth curve model | por |
dc.subject | Multi-process model | por |
dc.subject | Subjective well-being | por |
dc.title | A multi-process second-order latent growth curve model for subjective well-being | por |
dc.type | article | en_US |
dc.pagination | 735-752 | por |
dc.publicationstatus | Publicado | por |
dc.peerreviewed | Sim | por |
dc.relation.publisherversion | The definitive version is available at: http://dx.doi.org/10.1007/s11135-011-9541-y | por |
dc.journal | Quality & Quantity | por |
dc.distribution | Internacional | por |
dc.volume | 47 | por |
dc.number | 2 | por |
degois.publication.firstPage | 735 | por |
degois.publication.lastPage | 752 | por |
degois.publication.issue | 2 | por |
degois.publication.title | Quality & Quantity | por |
dc.date.updated | 2015-09-17T16:05:14Z | - |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
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Ficheiro | Descrição | Tamanho | Formato | |
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publisher_version_Qual_quant_2013.pdf Restricted Access | 448,69 kB | Adobe PDF | Ver/Abrir Request a copy |
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