You are here

Multilevel Modeling
Share

Multilevel Modeling



July 2004 | 88 pages | SAGE Publications, Inc
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.
Michael Lewis-Beck
Series Editor's Introduction
 
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

Sample Materials & Chapters

Series Editor's Introduction

Chapter 1. The Need for Multilevel Modeling


Preview this book

Douglas A. Luke

Douglas A. Luke is Professor and Director of the Center for Public Health Systems Science at the Brown School at Washington University in St. Louis. Dr. Luke is a leading researcher in the areas of public health policy, imple- mentation science, and systems science. Most of the work that Dr. Luke di- rects at the Center focuses on the evaluation, dissemination, and implemen- tation of evidence-based public health policies. During the past decade, Dr. Luke has worked on applying systems science methods to important public health problems, especially social network analysis. He has published two systems science review papers in the Annual... More About Author

Purchasing options

Please select a format:

ISBN: 9780761928799
$30.00 

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.