Using Time-Varying Covariates in Multilevel Growth Models

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.

[1]  J. Berkhof,et al.  Diagnostic Checks for Multilevel Models , 2008 .

[2]  Marcello G. Reggiani,et al.  On Assessing Model Adequacy , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Tom A. B. Snijders,et al.  Multilevel Analysis , 2011, International Encyclopedia of Statistical Science.

[4]  Kenneth A. Bollen,et al.  Latent curve models: A structural equation perspective , 2005 .