Multilevel Modeling

Neuausgabe 2004
ISBN: 978-0-7619-2879-9
Verlag: SAGE PUBN

Buch, Englisch, Band 143, 88 Seiten, Format (B × H): 138 mm x 210 mm, Gewicht: 104 g

Reihe: Quantitative Applications in t

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.

Autoren/Hrsg.

Luke, Douglas A.

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Gesellschaftstheorie

Inhaltsverzeichnis

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

Über Autor(innen)

Luke, Douglas A.
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