An introduction to multilevel modeling techniques
Author(s)
Bibliographic Information
An introduction to multilevel modeling techniques
（Quantitative methodology series）
Lawrence Erlbaum Associates, 2000
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Note
Bibliography: p. 193-199
Includes indexes
Description and Table of Contents
Description
This book provides a broad overview of basic multilevel modeling issues and illustrates techniques 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. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind 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.
Table of Contents
Contents: Preface. An Introduction to Multilevel Models in Organizational Research. The Development of Multilevel Modeling Techniques. Linear Regression Models. Multilevel Regression Models. An Overview of Structural Equation Modeling. Multilevel Factor Analysis. Multilevel Structural Equation Modeling. Extending Multilevel Techniques.
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