Multilevel Models: Applications using SAS®

Jichuan Wang; Haiyi Xie; James F. Fisher

Published by De Gruyter 2011

Multilevel Models

Applications using SAS®

Jichuan Wang , Haiyi Xie and James F. Fisher
Together with: Higher Education Press

https://doi.org/10.1515/9783110267709

Overview
Contents

About this book

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or clustered structure. Multilevel models are now applied to a wide range of studies in sociology, population studies, education studies, psychology, economics, epidemiology, and public health.

This book covers a broad range of topics about multilevel modeling. The goal of the authors is to help students and researchers who are interested in analysis of multilevel data to understand the basic concepts, theoretical frameworks and application methods of multilevel modeling. The book is written in non-mathematical terms, focusing on the methods and application of various multilevel models, using the internationally widely used statistical software, the Statistics Analysis System (SAS^®). Examples are drawn from analysis of real-world research data. The authors focus on twolevel models in this book because it is most frequently encountered situation in real research. These models can be readily expanded to models with three or more levels when applicable. A wide range of linear and non-linear multilevel models are introduced and demonstrated.

Author / Editor information

Jichuan Wang, Wright State University, Dayton, Ohio, USA; Haiyi Xie, Dartmouth Medical School, Hanover, New Hampshire, USA; James H. Fisher, Wright State University, Dayton, Ohio, USA.

Supplementary Materials

Contents

Topics

Frontmatter Requires Authentication Unlicensed Licensed Download PDF	i
Preface Jichuan Wang, Haiyi Xie and James H. Fisher Requires Authentication Unlicensed Licensed Download PDF	v
Contents Requires Authentication Unlicensed Licensed Download PDF	vii
Chapter 1. Introduction Requires Authentication Unlicensed Licensed Download PDF	1
Chapter 2. Basics of linear multilevel models Requires Authentication Unlicensed Licensed Download PDF	13
Chapter 3. Application of two-level linear multilevel models Requires Authentication Unlicensed Licensed Download PDF	39
Chapter 4. Application of multilevel modeling to longitudinal data Requires Authentication Unlicensed Licensed Download PDF	73
Chapter 5. Multilevel models for discrete outcome measures Requires Authentication Unlicensed Licensed Download PDF	113
Chapter 6. Other applications of multilevel modeling and related issues Requires Authentication Unlicensed Licensed Download PDF	175
References Requires Authentication Unlicensed Licensed Download PDF	247
Index Requires Authentication Unlicensed Licensed Download PDF	259

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers and Practitioners in Mathematics and Health Sciences; Academic Libraries
Pages
- Front matter: 10
- Main content: 264
Illustrations
- Illustrations: 40
Keywords: Multilevel Model; SAS®; Statistics

eBook

Published: December 23, 2011
ISBN: 9783110267709

Hardcover

Published: December 23, 2011
ISBN: 9783110267594