Series Editor's Introduction / George A. Marcoulides -- 1. An Introduction to Multilevel Models in Organizational Research -- 2. The Development of Multilevel Modeling Techniques -- 3. Linear Regression Models -- 4. Multilevel Regression Models -- 5. An Overview of Structural Equation Modeling -- 6. Multilevel Factor Analysis -- 7. Multilevel Structural Equation Models -- 8. Extending Multilevel Techniques

Summary

"An Introduction to Multilevel Modeling Techniques provides a broad overview of some of the basic multilevel modeling issues and illustrates the techniques of multilevel modeling through building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. The authors develop two basic classes of multilevel models: multilevel regression models and multilevel models for covariance structures. Their intent is to develop the rationale behind the use of these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques - hierarchical linear modeling and structural equation modeling."--BOOK JACKET