2nd Edition. — CRC Press, Taylor & Francis Group, 2019. — 253 p. — ISBN13: 978-1-1384-8071-1.
After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data.
Linear Models
An Introduction to Multilevel Data Structure
Fitting Two-Level Models in R
Three-Level and Higher Models
Longitudinal Data Analysis Using Multilevel Models
Graphing Data in Multilevel Contexts
Brief Introduction to Generalized Linear Models
Multilevel Generalized Linear Models (MGLMs)
Bayesian Multilevel Modeling
Advanced Issues in Multilevel Modeling