ISBN-10:
076191904X
ISBN-13:
9780761919049
Pub. Date:
12/19/2001
Publisher:
SAGE Publications
Hierarchical Linear Models: Applications and Data Analysis Methods / Edition 2

Hierarchical Linear Models: Applications and Data Analysis Methods / Edition 2

by Stephen W. Raudenbush, Anthony S. Bryk

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Product Details

ISBN-13: 9780761919049
Publisher: SAGE Publications
Publication date: 12/19/2001
Series: Advanced Quantitative Techniques in the Social Sciences Series , #1
Edition description: Second Edition
Pages: 512
Sales rank: 704,175
Product dimensions: 6.00(w) x 9.00(h) x (d)

Table of Contents

PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING
Series Editor 's Introduction to Hierarchical Linear Models
Series Editor 's Introduction to the Second Edition
1.Introduction
2.The Logic of Hierarchical Linear Models
3. Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models
4. An Illustration
PART II BASIC APPLICATIONS
5. Applications in Organizational Research
6. Applications in the Study of Individual Change
7. Applications in Meta-Analysis and Other Cases where Level-1 Variances are Known
8. Three-Level Models
9. Assessing the Adequacy of Hierarchical Models
PART III ADVANCED APPLICATIONS
10. Hierarchical Generalized Linear Models
11. Hierarchical Models for Latent Variables
12. Models for Cross-Classified Random Effects
13. Bayesian Inference for Hierarchical Models
PART IV ESTIMATION THEORY AND COMPUTATIONS
14. Estimation Theory
Summary and Conclusions
References
Index
About the Authors

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