Hierarchical Linear Models
Applications and Data Analysis Methods
1st Edition
Published on 10. April 1992
Book
Hardback
265 pages
978-0-8039-4627-9 (ISBN)
Description
Much social and behavioural research involves hierarchical data structures. The effects of school characteristics on students, how differences in government policies from country to country influence demographic relations within them, and how individuals exposed to different environmental conditions develop over time are a few examples. This introductory text explicates the theory and use of hierarchical linear models through rich illustrative examples and lucid explanations.
Reviews / Votes
"No other introductory text on hierarchial or multilevel models attempts to take the reader through a carefully structured set of examples, and so this book is certainly welcome. . . . I would recommend it to those who would like an introduction to the topic and a glimpse of some of the potential power of multilevel models." * Journal of the American Statistical Association *More details
Series
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
Weight
654 gr
ISBN-13
978-0-8039-4627-9 (9780803946279)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Stephen W. Raudenbush | Anthony S. Bryk
Hierarchical Linear Models
Applications and Data Analysis Methods
Book
01/2002
2nd Edition
SAGE Publications Inc
€157.00
Shipment within 15-20 days
Content
Introduction
The Logic of Hierarchical Linear Models
Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models
An Illustration
Applications in Organizational Research
Applications in the Study of Individual Change
Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known
Three-Level Models
Assessing the Adequacy of Hierarchical Models
Technical Appendix
The Logic of Hierarchical Linear Models
Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models
An Illustration
Applications in Organizational Research
Applications in the Study of Individual Change
Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known
Three-Level Models
Assessing the Adequacy of Hierarchical Models
Technical Appendix