Multilevel models : applications using SAS / Jichuan Wang, Haiyi Xie, James H. Fischer.

Format:

Book

Author/Creator:

Wang, Jichuan.

Contributor:

Xie, Haiyi.

Fischer, James H.

Standardized Title:

Duo ceng tong ji fen xi mo xing

Language:

English

Subjects (All):

Social sciences--Research--Mathematical models.

Social sciences.

Multilevel models (Statistics).

SAS (Computer file).

Physical Description:

1 online resource (274 p.)

Edition:

1st ed.

Place of Publication:

Berlin : De Gruyter ; Boston : Higher Education Press, c2012.

Language Note:

English

Summary:

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.

Contents:

Frontmatter

Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H.

Contents

Chapter 1. Introduction

Chapter 2. Basics of linear multilevel models

Chapter 3. Application of two-level linear multilevel models

Chapter 4. Application of multilevel modeling to longitudinal data

Chapter 5. Multilevel models for discrete outcome measures

Chapter 6. Other applications of multilevel modeling and related issues

References

Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9783110267709

3110267705

OCLC:

772845239