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.
This volume provides a broad overview of some of the basic multilevel modelling issues and illustrates the techniques of multilevel modelling through building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples should 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 provides an introduction to the design and analysis of research studies using two multilevel analytic techniques - hierarchical linear modelling and structural equation modelling. They provide introductions to single-level analyses using both techniques and then extend each into several multilevel examples. Heck and Thomas believe that the multilevel approach to modelling univariate and multivariate relationships will, however, become increasingly relevant to graduate students and researchers in the social sciences.
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