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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 |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.