A multi-process second-order latent growth curve model for subjective well-being

M. Salgueiro (), Peter Smith () and Marcel Vieira ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 2, 735-752

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. Copyright Springer Science+Business Media B.V. 2013

Keywords: BHPS; Complex survey design; Latent growth curve model; Multi-process model; Subjective well-being (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:47:y:2013:i:2:p:735-752

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DOI: 10.1007/s11135-011-9541-y

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