Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/10566
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dc.contributor.authorSalgueiro, M. F.-
dc.contributor.authorMalta, J.-
dc.date.accessioned2016-01-07T12:21:42Z-
dc.date.available2016-01-07T12:21:42Z-
dc.date.issued2013-
dc.identifier.issn2326-8999por
dc.identifier.urihttps://ciencia.iscte-iul.pt/public/pub/id/15089-
dc.identifier.urihttp://hdl.handle.net/10071/10566-
dc.description.abstractThis 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.por
dc.language.isoengpor
dc.publisherScience Publishing Grouppor
dc.rightsopenAccesspor
dc.subjectBritish household panelpor
dc.subjectGeneral health questionnaire 12por
dc.subjectLatent growth curve modelpor
dc.subjectLongitudinal data analysispor
dc.titleLatent growth curve modeling of psychological well-being trajectoriespor
dc.typearticleen_US
dc.pagination61-66por
dc.publicationstatusPublicadopor
dc.peerreviewedSimpor
dc.relation.publisherversionThe definitive version is available at: http://dx.doi.org/10.11648/j.ajtas.20130203.14por
dc.journalAmerican Journal of Theoretical and Applied Statisticspor
dc.distributionInternacionalpor
dc.volume2por
dc.number3por
degois.publication.firstPage61por
degois.publication.lastPage66por
degois.publication.issue3por
degois.publication.titleAmerican Journal of Theoretical and Applied Statisticspor
dc.date.updated2016-01-07T12:19:58Z-
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