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Title: A multi-process second-order latent growth curve model for subjective well-being
Authors: Salgueiro, M. F.
Smith, P. W. F.
Vieira, M. D. T.
Keywords: BHPS
Complex survey design
Latent growth curve model
Multi-process model
Subjective well-being
Issue Date: 2013
Publisher: Springer Verlag
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.
Description: WOS:000313802300007 (Nº de Acesso Web of Science)
Peer reviewed: Sim
ISSN: 0033-5177
Publisher version: The definitive version is available at:
Appears in Collections:BRU-RI - Artigo em revista científica internacional com arbitragem científica

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