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.
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A practical introduction to multi-level modelling, this title offers an introduction to HLM and illustrations of how to use this technique to build models for hierarchical and longitudinal data.
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
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Produktdetaljer

ISBN
9780761928799
Publisert
2004-08-31
Utgiver
Vendor
SAGE Publications Inc
Vekt
110 gr
Høyde
215 mm
Bredde
139 mm
Aldersnivå
05, U
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
88

Forfatter

Biographical note

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 Review of Public Health, and the first study to employ new statistical network modeling techniques on public health data was published in the American Journal of Public Health in 2010. He was also a member of a National Academy of Sciences panel that produced a recent report, Assessing the use of agent-based models for tobacco regulation, which provided the FDA and other public health scien- tists with guidance on how best to use computational models to inform to- bacco control regulation and policy. Dr. Luke directs the doctoral progam in Public Health Sciences at the Brown School, where he also teaches doctoral courses in multilevel and longitudinal modeling, social network analysis, and philosophy of social science. Dr. Luke received his Ph.D. in clinical and community psychology in 1990 from the University of Illinois at Urbana- Champaign