Multilevel and Longitudinal Modeling with IBM SPSS
Highlights of the new edition include:
Updated throughout to reflect IBM SPSS Version 21.
Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5).
Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6).
New examples specifying multiple latent constructs and parallel growth processes (Ch. 7).
Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1).
The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses.
Ideal as a supplementary text for graduate courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology, this book's practical approach also appeals 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.
- Paperback | 462 pages
- 216 x 279 x 25.4mm | 1,089g
- 29 Aug 2013
- Taylor & Francis Ltd
- London, United Kingdom
- New edition
- 2nd New edition
- Follow first edition; 4 Line drawings, black and white; 423 Halftones, black and white; 168 Tables, black and white; 427 Illustrations, black and white
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Table of contents
3. Defining a Basic Two-Level Multilevel Regression Model. 4. Three-Level Univariate Regression Models. 5. Examining Individual Change with Repeated Measures Data. 6. Applications of Mixed Models for Longitudinal Data.
7. Multivariate Multilevel Models. 8. Cross-Classified Multilevel Models. 9. Concluding Thoughts. Appendix A: Syntax Statements. Appendix B: Model Comparisons Across Software Applications. Appendix C: Syntax Routine to Estimate Rho from Model's Variance Components.
"This book serves, not only as an introduction to using IBM SPSS for multilevel models, but as a wonderful introduction to multilevel models through empirical example. It is a wonderful resource for an undergraduate or graduate course on multilevel modeling." - Kevin Grimm, University of California, Davis, USA
"This book is ideal for individuals interested in learning about how to analyze different types of multilevel and longitudinal models using the MIXED procedure in IBM SPPS. The book methodically progresses from the simplest of models and designs to the more advanced ones. The presentation of statistical concepts is easy to follow, the data analysis examples are excellent, and the screen shots of the scripts and outputted results are thoroughly and effectively annotated." - George A. Marcoulides, University of California, Riverside, USA