Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/9810
Author(s): | Salgueiro, M. F. Smith, P. W. F. Vieira, M. D. T. |
Date: | 2013 |
Title: | A multi-process second-order latent growth curve model for subjective well-being |
Volume: | 47 |
Number: | 2 |
Pages: | 735-752 |
ISSN: | 0033-5177 |
Keywords: | BHPS Complex survey design Latent growth curve model Multi-process model Subjective well-being |
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. |
Peerreviewed: | Sim |
Access type: | Embargoed Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
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