Summary
Contents
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."
Extending the Basic Multilevel Model
Extending the Basic Multilevel Model
Using Generalized Multilevel Modeling
As suggested above, there is an important limitation in modeling the congressional voting behavior with the basic hierarchical linear model. Our dependent variable is a proportion, and thus violates the general linear model assumptions of normality and homoscedastic errors. Also, because the ...
