American Journal of Theoretical and Applied Statistics
Volume 2, Issue 3, May 2013, Pages: 61-66
Received: Apr. 23, 2013;
Published: May 30, 2013
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M. Fátima Salgueiro, Instituto Universitário de Lisboa (ISCTE-IUL), Department of Quantitative Methods and Business Research Unit, Lisbon, Portugal
Joana Malta, Statistics Portugal, Lisbon, Portugal
This 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.
M. Fátima Salgueiro,
Latent growth curve modeling of psychological well-being trajectories, American Journal of Theoretical and Applied Statistics.
Vol. 2, No. 3,
2013, pp. 61-66.
Jones, A. M. and Widman J.: "Health, income and relative deprivation: Evidence from BHPS". Journal of Health Economics, vol. 27, 2008, pp. 308-324.
Graetz, B.: "Multidimensional properties of the General Health Questionnaire". Social Psychiatry and Psychiatric Epidemiology, vol. 26, 1991, pp. 132-138.
Taylor, M.F. (Ed.), with Brice, J., Buck, N., & Prentice-Lane, E.: British household panel survey user manual volume A: Introduction, technical report and appendices. Colchester: University of Essex, 2008.
Bollen, K.A., Curran, P.J.: Latent Curve Models – A Structural Equation Perspective. John Wiley & Sons, New Jersey, 2006.
Duncan, T.E., Duncan, S.C., Strycker, L.A.: An Introduction to Latent Variable Growth Curve Modeling - Concepts, Issues an Applications. 2nd ed. Lawrence Erlbaum Associates, Inc., New Jersey, 2006.
Berrington, A. and Smith, P.W.F.: "An overview of methods for the analysis of panel data". ESRC National Centre for Research Methods, NCRM Methods Review Paper, 2006.
Muthén, B.O.: Mplus Technical Appendices, Los Angeles: Muthén and Muthén, 1998-2004.
Clark, A.: Born to be mild: cohort effects in subjective well-being. DELTA mimeo, 2002.
Shevlin, M. and Adamson, G.: "Alternative factor models and factorial invariance of the GHQ-12: a large sample analysis using confirmatory factor analysis". American Psychological Association, vol. 17 (2), 2005, pp. 231-236.
Pavot, W.: "The assessment of subjective well-being". In: Eid, Michael and Randy J. Larsen, Eds. The Science of Subjective Well-Being. New York: The Guilford Press, 2008, pp. 124-140.
Diener, E.: "Myths in the science of happiness and directions for future research". In Eid, Michael and Randy J. Larsen, Eds. The Science of Subjective Well-Being, New York: The Guilford Press, 2008, pp. 493-514.
Clark, A. and Oswald, A.: "The curved relationship between subjective well-being and age". Paris-Jourdan Sciences Economiques. Working paper nº 2006-9, Centre National de la Recherche Scientifique, 2006.