Cookies?
Library Header Image
LSE Research Online LSE Library Services

Modeling bivariate change in individual differences: prospective associations between personality and life satisfaction

Hounkpatin, Hilda O., Boyce, Christopher J., Dunn, Graham and Wood, Alexander Mathew (2018) Modeling bivariate change in individual differences: prospective associations between personality and life satisfaction. Journal of Personality and Social Psychology, 115 (6). 12 - 29. ISSN 0022-3514

[img] Text (Wood _bivariate_change_in_individual_differences--published) - Published Version
Available under License Creative Commons Attribution.

Download (654kB)

Identification Number: 10.1037/pspp0000161

Abstract

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.

Item Type: Article
Official URL: https://www.apa.org/pubs/journals/psp/
Additional Information: © 2017 The Authors
Divisions: Psychological and Behavioural Science
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Date Deposited: 05 Sep 2019 08:36
Last Modified: 20 Oct 2019 03:07
URI: http://eprints.lse.ac.uk/id/eprint/101507

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics