Hierarchical Linear Models: Applications and Data Analysis Methods(Advanced Quantitative Techniques in the Social Sciences)

Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.

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

Review :
"The text is authoritative, well laid out, and extremely readable. For the target audience, this book is highly recommended." "This book is very well written and the applied part is well balanced with technical details. I think that it will be useful not only for social and behavioral researchers but also for applied statisticians, practitioners and students analyzing data with hierarchical-type structures" "The book is clearly written, well organized, and addresses an important topic. I would recommend this book to the readers of Personnel Psychology. If you want to learn more about these techniques, the new advances, the controversial points, potential links between HLM and meta-analysis, structural equations modeling, item response theory, and so forth , this book is a feast." "This book makes good use of examples to introduce readers to HLM and the issues surrounding their application. In fact, I think the book does a wonderful job by using lots of examples with lots of details. This is definitely one of its strengths as it makes it much easier for the reader to follow the text and understand the capabilities of the HLM approach. This Second Edition should come highly recommended. I think it gives a very good and thorough overview of HLM, and it does so in a manner that is easy to follow."