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Hierarchical Linear Models
Applications and Data Analysis Methods
Second Edition
- Stephen W. Raudenbush - University of Chicago, USA
- Anthony S. Bryk
Volume:
1
January 2002 | 512 pages | SAGE Publications, Inc
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.
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
Excellent and self-exploratory book
COLLEGE OF EDUCATION, TEXAS TECH
July 3, 2013
Great text. This really is the rosetta stone of multilvel modeling.
School Of Education, University of Delaware
September 12, 2012
Required for phd students who use the ecological approach and plan to analyze data with nested structure(s)
Sociology Anthropology Dept, Howard University
December 29, 2011
Great text for teaching and understanding multilevel modeling. It's technical, thus having a good grasp on statistics will be helpful for readers.
Adult Community Coll Ed Dept, North Carolina State University
July 8, 2010