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Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.

Multilevel Modeling

Series Editor's Introduction - Michael Lewis-Beck
The Need for Multilevel Modeling
Theoretical reasons for multilevel models
Statistical reasons for multilevel models
Scope of Book
Basic Multilevel Modeling
The basic two-level multilevel model
How to build and evaluate a multilevel model
Extending the Basic Multilevel Model
Using generalized multilevel modeling
Three-level models
Longitudinal data as hierarchical: Time nested within person
Appendices
Datasets and other support materials
Software
Other Resources
References
About the Author