An Introduction to Multilevel Modeling Techniques

Quantitative Methodology

by Ronald H. Heck, Scott L. Thomas

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.

Genres: Summer

224 pages, Hardcover

First published November 1, 1999

Reviews

[Dana · Rating 5 out of 5]

This is the second edition, and it is much-improved from the first. The step-by-step instructions in SPSS are very helpful and just enough conceptual material is covered for the analyses to make sense to a multilevel novice. I highly recommend this for graduate level multivariate stats courses.

[Natalie]

I am a little bit disappointed with the book because it does not present the results as generated by the Mplus output, being difficult to follow the author's interpretation of the results.