McCoach D Betsy, Kaniskan Burcu
Measurement, Evaluation, and Assessment Program, Educational Psychology Department, Neag School of Education, University of Connecticut Storrs, CT, USA.
Front Psychol. 2010 Jun 14;1:17. doi: 10.3389/fpsyg.2010.00017. eCollection 2010.
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.
本文阐述了多水平框架下的增长曲线建模。具体而言，我们展示了编码方案，使研究者能够结合随时间变化的协变量，使用线性增长模型对不连续的纵向数据进行建模。我们的重点是开发一个能准确反映增长轨迹形状的一级模型。我们证明了对一级增长轨迹形状进行充分建模对于推断一级和二级预测变量的重要性的重要性。
