Using Time-Varying Covariates in Multilevel Growth Models

Frontiers in Psychology

D. Betsy McCoach¹ 

关键词: hierarchical linear modeling;    multilevel modeling;    growth curve modeling/growth curve model(s);    time varying covariates;    coding;    summer effects;    time varying treatment effects;   

DOI  :  10.3389/fpsyg.2010.00017

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

This article provides an illustration of growth curve modeling within a multilevel framework. Specifically, we demonstrate coding schemes that allow the researcher to model discontinuous longitudinal data using a linear growth model in conjunction with time-varying covariates. Our focus is on developing a level-1 model that accurately reflects the shape of the growth trajectory. We demonstrate the importance of adequately modeling the shape of the level-1 growth trajectory in order to make inferences about the importance of both level-1 and level-2 predictors.

【 授权许可】

CC BY