
Multilevel Analysis
An Introduction to Basic and Advanced Multilevel Modeling
SAGE Publications Inc (Publisher)
Published on 29. September 1999
Book
Paperback/Softback
272 pages
978-0-7619-5890-1 (ISBN)
Article exhausted; check for reprint
Description
The main methods, techniques and issues for carrying out multilevel modeling and analysis are covered in this book. The book is an applied introduction to the topic, providing a clear conceptual understanding of the issues involved in multilevel analysis and will be a useful reference tool. Information on designing multilevel studies, sampling, testing and model specification and interpretation of models is provided. A comprehensive guide to the software available is included. Multilevel Analysis is the ideal guide for researchers and applied statisticians in the social sciences, including education, but will also interest researchers in economics, and biological, medical and health disciplines.
More details
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Product notice
Paperback (trade)
Illustrations
black & white illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 14 mm
Weight
397 gr
ISBN-13
978-0-7619-5890-1 (9780761958901)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Tom A.B. Snijders | Roel Bosker
Multilevel Analysis
An Introduction to Basic and Advanced Multilevel Modeling
Book
11/2011
2nd Edition
SAGE Publications Ltd
€66.34
Shipment within 15-20 days
Content
Introduction Multilevel Theories, Multi-Stage Sampling and Multilevel Models Statistical Treatment of Clustered Data The Random Intercept Model The Hierarchical Linear Model Testing and Model Specification How Much Does the Model Explain? Heteroscedasticity Assumptions of the Hierarchical Linear Model Designing Multilevel Studies Crossed Random Coefficients Longitudinal Data Multivariate Multilevel Models Discrete Dependent Variables Software