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PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING Series Editor 'sIntroduction to Hierarchical Linear Models Series Editor 's Introduction tothe Second Edition 1.Introduction 2.The Logic of Hierarchical Linear Models3. Principles of Estimation and Hypothesis Testing for Hierarchical LinearModels 4. An Illustration PART II BASIC APPLICATIONS 5. Applications inOrganizational Research 6. Applications in the Study of Individual Change 7.Applications in Meta-Analysis and Other Cases where Level-1 Variances areKnown 8. Three-Level Models 9. Assessing the Adequacy of Hierarchical ModelsPART III ADVANCED APPLICATIONS 10. Hierarchical Generalized Linear Models 11.Hierarchical Models for Latent Variables 12. Models for Cross-ClassifiedRandom Effects 13. Bayesian Inference for Hierarchical Models PART IVESTIMATION THEORY AND COMPUTATIONS 14. Estimation Theory Summary andConclusions References Index About the Authors