Hierarchical Linear Models : Applications and Data Analysis Methods

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