Abstract

Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of Within × Within and Between × Within interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework. We provide annotated Mplus code, allowing users to isolate, estimate and interpret the complexities of within-person and between-person dynamics as they unfold over time.

摘要

随机截取交叉滞后面板模型允许将测量分解为人与人之间和人内的组成部分，因此在测试发展假设方面很受欢迎。在这里，我们描述了发展研究人员如何使用发展精神病理学研究中的一个经验例子来实施、测试和解释此类模型中的交互作用。我们在贝叶斯结构方程模型框架内利用来自英国千年队列研究的数据来说明Within × Within和Between × Within相互作用的分析。我们提供带注释的 Mplus 代码，允许用户隔离、估计和解释随着时间的推移展开的人内和人际动态的复杂性。