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Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction

A number of structural equation models have been developed to examine change in 1 variable or the longitudinal association between 2 variables. The most common of these are the latent growth model, the autoregressive cross-lagged model, the autoregressive latent trajectory model, and the latent chan...

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Autores principales: Hounkpatin, Hilda Osafo, Boyce, Christopher J., Dunn, Graham, Wood, Alex M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Psychological Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292426/
https://www.ncbi.nlm.nih.gov/pubmed/28921998
http://dx.doi.org/10.1037/pspp0000161
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author Hounkpatin, Hilda Osafo
Boyce, Christopher J.
Dunn, Graham
Wood, Alex M.
author_facet Hounkpatin, Hilda Osafo
Boyce, Christopher J.
Dunn, Graham
Wood, Alex M.
author_sort Hounkpatin, Hilda Osafo
collection PubMed
description A number of structural equation models have been developed to examine change in 1 variable or the longitudinal association between 2 variables. The most common of these are the latent growth model, the autoregressive cross-lagged model, the autoregressive latent trajectory model, and the latent change score model. The authors first overview each of these models through evaluating their different assumptions surrounding the nature of change and how these assumptions may result in different data interpretations. They then, to elucidate these issues in an empirical example, examine the longitudinal association between personality traits and life satisfaction. In a representative Dutch sample (N = 8,320), with participants providing data on both personality and life satisfaction measures every 2 years over an 8-year period, the authors reproduce findings from previous research. However, some of the structural equation models overviewed have not previously been applied to the personality-life satisfaction relation. The extended empirical examination suggests intraindividual changes in life satisfaction predict subsequent intraindividual changes in personality traits. The availability of data sets with 3 or more assessment waves allows the application of more advanced structural equation models such as the autoregressive latent trajectory or the extended latent change score model, which accounts for the complex dynamic nature of change processes and allows stronger inferences on the nature of the association between variables. However, the choice of model should be determined by theories of change processes in the variables being studied.
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spelling pubmed-62924262018-12-17 Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction Hounkpatin, Hilda Osafo Boyce, Christopher J. Dunn, Graham Wood, Alex M. J Pers Soc Psychol Replication Article (Online Only) A number of structural equation models have been developed to examine change in 1 variable or the longitudinal association between 2 variables. The most common of these are the latent growth model, the autoregressive cross-lagged model, the autoregressive latent trajectory model, and the latent change score model. The authors first overview each of these models through evaluating their different assumptions surrounding the nature of change and how these assumptions may result in different data interpretations. They then, to elucidate these issues in an empirical example, examine the longitudinal association between personality traits and life satisfaction. In a representative Dutch sample (N = 8,320), with participants providing data on both personality and life satisfaction measures every 2 years over an 8-year period, the authors reproduce findings from previous research. However, some of the structural equation models overviewed have not previously been applied to the personality-life satisfaction relation. The extended empirical examination suggests intraindividual changes in life satisfaction predict subsequent intraindividual changes in personality traits. The availability of data sets with 3 or more assessment waves allows the application of more advanced structural equation models such as the autoregressive latent trajectory or the extended latent change score model, which accounts for the complex dynamic nature of change processes and allows stronger inferences on the nature of the association between variables. However, the choice of model should be determined by theories of change processes in the variables being studied. American Psychological Association 2017-09-18 2018-12 /pmc/articles/PMC6292426/ /pubmed/28921998 http://dx.doi.org/10.1037/pspp0000161 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/3.0/ This article has been published under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright for this article is retained by the author(s). Author(s) grant(s) the American Psychological Association the exclusive right to publish the article and identify itself as the original publisher.
spellingShingle Replication Article (Online Only)
Hounkpatin, Hilda Osafo
Boyce, Christopher J.
Dunn, Graham
Wood, Alex M.
Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title_full Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title_fullStr Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title_full_unstemmed Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title_short Modeling Bivariate Change in Individual Differences: Prospective Associations Between Personality and Life Satisfaction
title_sort modeling bivariate change in individual differences: prospective associations between personality and life satisfaction
topic Replication Article (Online Only)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292426/
https://www.ncbi.nlm.nih.gov/pubmed/28921998
http://dx.doi.org/10.1037/pspp0000161
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