Primary Care and Population Sciences, Faculty of Medicine, University of Southampton.
Behavioural Science Centre, Stirling Management School, University of Stirling.
J Pers Soc Psychol. 2018 Dec;115(6):e12-e29. doi: 10.1037/pspp0000161. Epub 2017 Sep 18.
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. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
已经开发了许多结构方程模型来检验一个变量的变化或两个变量之间的纵向关联。其中最常见的是潜在增长模型、自回归交叉滞后模型、自回归潜在轨迹模型和潜在变化分数模型。作者首先通过评估这些模型在变化性质周围的不同假设以及这些假设如何导致不同的数据解释，来概述这些模型。然后，为了在实证例子中阐明这些问题，作者研究了人格特质和生活满意度之间的纵向关联。在一个有代表性的荷兰样本（N=8320）中，参与者在 8 年期间每两年提供一次人格和生活满意度测量的数据，作者重现了之前研究的发现。然而，所概述的一些结构方程模型以前没有应用于人格-生活满意度关系。生活满意度的个体内变化预测了随后个体内人格特质的变化。具有 3 个或更多评估波的数据集的可用性允许应用更先进的结构方程模型，如自回归潜在轨迹或扩展潜在变化分数模型，这些模型考虑了变化过程的复杂动态性质，并允许对变量之间关联的性质进行更强的推断。然而，模型的选择应该由所研究变量的变化过程理论决定。（PsycINFO 数据库记录（c）2018 APA，保留所有权利）。
