Multilevel Modelling using R provides a helpful guide to conducting multilevel data modeling using the R software environment. 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. The book concludes with Bayesian fitting of multilevel models.

Complete data sets for the book can be found on the book's website www.mlminr.com/

chapter 1|22 pages

Linear Models

chapter 2|20 pages

Introduction to Multilevel Data Structure

chapter 3|24 pages

Fitting Two-Level Models in R

chapter 4|20 pages

Models of Three and More Levels

chapter 6|20 pages

Graphing Data in Multilevel Contexts

chapter 8|26 pages

Multilevel Generalized Linear Models

chapter 9|32 pages

Bayesian Multilevel Modeling