Multilevel analysis : an introduction to basic and advanced multilevel modeling
Author(s)
Bibliographic Information
Multilevel analysis : an introduction to basic and advanced multilevel modeling
SAGE, 1999
- : pbk
Available at / 27 libraries
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Institute of Materials and Systems for Sustainability, Nagoya University未来材料研
: pbk417||S41460176
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Note
Includes bibliographical references (p. 252-260) and index
Description and Table of Contents
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.
Table of Contents
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
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