当前位置: X-MOL 学术Annu. Rev. Clin. Psychol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Latent Growth and Dynamic Structural Equation Models
Annual Review of Clinical Psychology ( IF 17.8 ) Pub Date : 2018-05-07 00:00:00 , DOI: 10.1146/annurev-clinpsy-050817-084840
Kevin J. Grimm 1 , Nilam Ram 2
Affiliation  

Latent growth models make up a class of methods to study within-person change—how it progresses, how it differs across individuals, what are its determinants, and what are its consequences. Latent growth methods have been applied in many domains to examine average and differential responses to interventions and treatments. In this review, we introduce the growth modeling approach to studying change by presenting different models of change and interpretations of their model parameters. We then apply these methods to examining sex differences in the development of binge drinking behavior through adolescence and into adulthood. Advances in growth modeling methods are then discussed and include inherently nonlinear growth models, derivative specification of growth models, and latent change score models to study stochastic change processes. We conclude with relevant design issues of longitudinal studies and considerations for the analysis of longitudinal data.

中文翻译:


潜在增长和动态结构方程模型

潜在增长模型构成了一类研究人际变化的方法,即人的变化如何发展,个体之间的差异,决定因素是什么以及其后果是什么。潜在生长方法已在许多领域中应用,以检查对干预和治疗的平均和差异反应。在本文中,我们通过介绍不同的变化模型及其模型参数的解释,介绍了用于研究变化的增长建模方法。然后,我们将这些方法应用于检查通过青春期到成年的暴饮暴食行为发展中的性别差异。然后讨论了增长建模方法的进展,这些方法包括固有的非线性增长模型,增长模型的派生规范以及研究随机变化过程的潜在变化得分模型。

更新日期:2018-05-07
down
wechat
bug