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Home / Journals / Mathematics & Statistics / American Journal of Theoretical and Applied Statistics / Article
Latent growth curve modeling of psychological well-being trajectories
American Journal of Theoretical and Applied Statistics
Volume 2, Issue 3, May 2013, Pages: 61-66
Received: Apr. 23, 2013; Published: May 30, 2013
Volume 2, Issue 3, May 2013, Pages: 61-66
Received: Apr. 23, 2013; Published: May 30, 2013
Views 3183 Downloads 176
Authors
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
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.
Keywords
British Household Panel Survey, General Health Questionnaire 12, Latent Growth Curve Model, Longitudinal Data Analysis
To cite this article
M. Fátima Salgueiro,
Joana Malta,
Latent growth curve modeling of psychological well-being trajectories, American Journal of Theoretical and Applied Statistics.
Vol. 2, No. 3,
2013, pp. 61-66.
doi: 10.11648/j.ajtas.20130203.14
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