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Multilevel and Longitudinal Modeling with PASW / SPSS

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Part of the Quantitative Methodology Series series

This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in the PASW (SPSS) Version 18 software. The authors tap the power of PASW’s Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using this software will no longer have to adapt to a new program to conduct quality multilevel and longitudinal analyses. Annotated screen shots with all of the key output provide readers with a step-by-step understanding of each technique as they are shown how to navigate through the program. Diagnostic tools, data management issues, and related graphics are introduced throughout. PASW commands show the flow of the menu structure and how to facilitate model building. Annotated syntax is also available for those who prefer this approach. Most chapters feature an extended example illustrating the logic of model development. These examples show readers the context and rationale of the research questions and the steps around which the analyses are structured. A book-specific website provides the data used in the text and syntax examples.

The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of PASW data management techniques which facilitate working with multilevel, longitudinal, and/or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, how to develop a multilevel model, and trouble-shooting techniques for common programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are developed in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 illustrates PASW’s facility for examining models with cross-classified data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues to keep in mind in conducting multilevel analyses.

Ideal as a supplementary text for graduate level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in departments of psychology, business, education, health, and sociology, this book’s practical approach will also appeal to researchers in these fields. The book provides an excellent supplement to Heck & Thomas’s An Introduction to Multilevel Modeling Techniques, 2nd edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.

Table of Contents

1. Introduction to Multilevel and Longitudinal Modeling with PASW/SPSS. 2. Preparing and Examining the Data for Multilevel Analyses. 3. Defining a Basic Two-Level Multilevel Regression Model. 4. Three-Level Univariate Regression Models. 5. Examining Individual Change with Repeated Measures Data. 6. Methods for Examining Organizational-Level Change. 7. Multivariate Multilevel Models. 8. Cross-Classified Multilevel Models. 9. Concluding Thoughts. Appendix A: Syntax Statements. Appendix B: Model Comparisons Across Software Applications.

Reviews

"If I could buy a copy right now, I would! ….There are quite a few great multilevel texts, however few that go into the detail of how to actually conduct and interpret the output. This text is so needed in our field. The sooner it can go to press, the better… The writing is very clear and easy to read… I will definitely purchase this book. …. [and] use it when teaching multivariate [statistics]." - Debbie Hahs-Vaughn, University of Central Florida, USA

"This book is a timely and valuable addition. Multilevel modeling is now becoming much more accessible to practitioners, many of whom use SPSS for other analyses. Therefore, a book like this [is] a great resource… I would purchase the book and require it for my courses… It is a unique contribution to a field… I wish I had thought of writing it first!" - Dick Carpenter, University of Colorado, Colorado Springs, USA

"What makes this book particularly attractive is that it will be the first on the market to explain and illustrate how these multilevel models can be analyzed using the popular SPSS program." -George Marcoulides, University of California at Riverside, USA

Author Biography

Ronald H. Heck is professor of education at the University of Hawaii Manoa. His areas of interest include organizational theory, leadership, policy, and quantitative research methods.

Scott L. Thomas is professor in the School of Educational Studies at Claremont Graduate University. His specialities include sociology of education, policy, and quantitative research methods.

Lynn N. Tabata is a Research Consultant and affiliate graduate faculty member at the University of Hawaii.