Average Reviews:
(More customer reviews)This isn't the most "introductory" introduction to multilevel modeling, but it's an excellent book. Heck and Thomas present multilevel models from an integrated structural equation modeling perspective, in the vein of Muthen and the Mplus software or Skrondal & Rabe-Hesketh and the GLLAM software.
The authors illustrate how traditional multilevel models, such as those estimated with the HLM software, can be extended to models with latent predictors and latent outcomes, and they describe advanced extensions (e.g., finite-mixture models and models with categorical indicators) as well as similarities with other methods (e.g., latent growth curve models). It is nice to find a book that is both conceptually integrative and practical.
If you plan to use Mplus for your multilevel analyses, this is the single best book to buy. If you're new to multilevel models, you should start with other books (such as Multilevel Modeling (Quantitative Applications in the Social Sciences)) before digging into this one.
Click Here to see more reviews about: An Introduction to Multilevel Modeling Techniques: Second Edition (Quantitative Methodology Series)
This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques. Input programs from HLM and Mplus demonstrate how to set up and run the models.A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling. The new edition features:New chapters on multilevel longitudinal and categorical models80% new exercises and exampleswebsite at http://www.psypress.com/multilevel-modeling-techniques/ providing datasets and program setups in HLM, SPSS, Mplus, and LISRELIncreased emphasis on how multilevel techniques are used to examine changes in individuals and organizations over time.Ideal for introductory graduate level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics.
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