This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.
Linear Models. An Introduction to Multilevel Data Structure. Fitting 2-level Models. Additional issues in fitting 2-level models. 3 Level and Higher Models. Longitudinal Data Analysis using Multilevel Models. Brief Introduction to Generalized Linear Models. Multilevel Generalized Linear Models (MGLM) and Multilevel Survival Models. Brief review of latent variable modeling in Mplus. Multilevel latent variable models in Mplus. Bayesian Multilevel Modeling. Appendix: An Introduction to MPlus.