The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses.
Key features of the third edition:
Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.
Ronald H. Heck is professor in the College of Education at the University of Hawaiʻi at Mānoa. His research interests include school effects on student learning, educational policy, and research methods.
Scott L. Thomas
is John P. "Jack" Ellbogen Dean in the College of Education at the University of Wyoming. His research interests include higher education policy and finance, sociology of education, and research methods.Lynn N. Tabata
was a graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests included broadening educational access to higher education, faculty participation in distance education, and the application of technological innovations in higher education.