Multilevel Models: Applications Using Sas

Wang, Jichuan/ Xie, Haiyi/ Fisher, James

ISBN 10: 3110267594 / ISBN 13: 9783110267594

Verlag: De Gruyter, 2011

Beschreibung

280 pages. 9.25x6.75x0.50 inches. In Stock.

Bestandsnummer des Verkäufers __3110267594

Bibliografische Details

• Titel: Multilevel Models: Applications Using Sas
• Verlag: De Gruyter
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 3110267594
• ISBN-13: 9783110267594
• Einband: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.