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.
| Published in | American Journal of Theoretical and Applied Statistics (Volume 2, Issue 3) |
| DOI | 10.11648/j.ajtas.20130203.14 |
| Page(s) | 61-66 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
British Household Panel Survey, General Health Questionnaire 12, Latent Growth Curve Model, Longitudinal Data Analysis
| [1] | Jones, A. M. and Widman J.: "Health, income and relative deprivation: Evidence from BHPS". Journal of Health Economics, vol. 27, 2008, pp. 308-324. |
| [2] | Graetz, B.: "Multidimensional properties of the General Health Questionnaire". Social Psychiatry and Psychiatric Epidemiology, vol. 26, 1991, pp. 132-138. |
| [3] | 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. |
| [4] | Bollen, K.A., Curran, P.J.: Latent Curve Models – A Structural Equation Perspective. John Wiley & Sons, New Jersey, 2006. |
| [5] | 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. |
| [6] | 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. |
| [7] | Muthén, B.O.: Mplus Technical Appendices, Los Angeles: Muthén and Muthén, 1998-2004. |
| [8] | Clark, A.: Born to be mild: cohort effects in subjective well-being. DELTA mimeo, 2002. |
| [9] | 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. |
| [10] | 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. |
| [11] | 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. |
| [12] | 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. |
APA Style
M. Fátima Salgueiro, Joana Malta. (2013). Latent growth curve modeling of psychological well-being trajectories. American Journal of Theoretical and Applied Statistics, 2(3), 61-66. https://doi.org/10.11648/j.ajtas.20130203.14
ACS Style
M. Fátima Salgueiro; Joana Malta. Latent growth curve modeling of psychological well-being trajectories. Am. J. Theor. Appl. Stat. 2013, 2(3), 61-66. doi: 10.11648/j.ajtas.20130203.14
AMA Style
M. Fátima Salgueiro, Joana Malta. Latent growth curve modeling of psychological well-being trajectories. Am J Theor Appl Stat. 2013;2(3):61-66. doi: 10.11648/j.ajtas.20130203.14
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Download@article{10.11648/j.ajtas.20130203.14,
author = {M. Fátima Salgueiro and Joana Malta},
title = {Latent growth curve modeling of psychological well-being trajectories},
journal = {American Journal of Theoretical and Applied Statistics},
volume = {2},
number = {3},
pages = {61-66},
doi = {10.11648/j.ajtas.20130203.14},
url = {https://doi.org/10.11648/j.ajtas.20130203.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130203.14},
abstract = {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.},
year = {2013}
}
TY - JOUR T1 - Latent growth curve modeling of psychological well-being trajectories AU - M. Fátima Salgueiro AU - Joana Malta Y1 - 2013/05/30 PY - 2013 N1 - https://doi.org/10.11648/j.ajtas.20130203.14 DO - 10.11648/j.ajtas.20130203.14 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 61 EP - 66 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20130203.14 AB - 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. VL - 2 IS - 3 ER -
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