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Salgueiro, M. F., Smith, P. W. F. & Vieira, M. D. T. (2013). A multi-process second-order latent growth curve model for subjective well-being. Quality and Quantity. 47 (2), 735-752
M. D. Salgueiro et al., "A multi-process second-order latent growth curve model for subjective well-being", in Quality and Quantity, vol. 47 , no. 2, pp. 735-752, 2013
@article{salgueiro2013_1725867207019, author = "Salgueiro, M. F. and Smith, P. W. F. and Vieira, M. D. T.", title = "A multi-process second-order latent growth curve model for subjective well-being", journal = "Quality and Quantity", year = "2013", volume = "47 ", number = "2", doi = "10.1007/s11135-011-9541-y", pages = "735-752", url = "http://link.springer.com/article/10.1007%2Fs11135-011-9541-y" }
TY - JOUR TI - A multi-process second-order latent growth curve model for subjective well-being T2 - Quality and Quantity VL - 47 IS - 2 AU - Salgueiro, M. F. AU - Smith, P. W. F. AU - Vieira, M. D. T. PY - 2013 SP - 735-752 SN - 0033-5177 DO - 10.1007/s11135-011-9541-y UR - http://link.springer.com/article/10.1007%2Fs11135-011-9541-y AB - 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. ER -