Step-by-step application of structural equation and multilevel modeling for longitudinal data enables clear understanding of change analysis
Real longitudinal data examples provide concrete illustrations for each chapter, enhancing practical learning
Script boxes offer code for Mplus, nlme in R, and OpenMX, facilitating hands-on model fitting and application
Discussion of output and interpretation ensures readers can confidently analyze and report results
Companion website provides datasets and additional code for further exploration and practice
Summarized by Shop
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and n
