Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series)
|Rating||:||4.69 (800 Votes)|
|Number of Pages||:||360 Pages|
Best statistics book I've ever purchased! Rick I'm an entrepreneurship professor that does research on startups. While I'm a subject-matter expert on the startup process, I'm not a statistician. So while I can handle traditional statistical analysis, I delved into the scary world of multi-level longitudinal analysis with a great deal of trepidation and only out of absolute necessity. This book was a god-send, and is in my opinion, the model that all such books should follow. First, it's written in regular English, not indecipherable statistics-speak. It walks readers through many detailed examples, explaining why things are . Carrie Petrucci said Great workbook for HLM. Great workbook. Very well written and easy to follow. Provides invaluable help for those who are willing to learn analyses on their own. Discussion of statistical topics includes the basics but also clearly describes and illustrates more complex topics for those of us who are not experts. Examples are really helpful. I highly recommend this workbook.. good basic book UD Its a very good introduction, easy to follow and very helpful to understand outputs.However,a s soon as you really start working with data and have more detailed and specific questions that are not covered by the basics, you are confronted with limits of this introductory book. So I recommend it as a good start, but statisticians will still have to rely on forum discussions etc for more specific questions.
The language is clear and the analysis is accurate. I found the book to be enjoyable. Multilevel modeling is now becoming much more accessible to practitioners, many of whom use SPSS for other analyses. The book is mostly suitable for a graduate level course, and it is also a good reference for those who want to learn multilevel modeling using SPSS." -Xing Liu, Education Department, Eastern Connecticut State University, USA, in the International Journal of Research & Method in Education"With its thorough coverage of the statistical underpinnings of multilevel modeling and the detailed step-by-step instructions on h
Scott L. Heck is professor of education at the University of Hawaii Manoa. . Thomas is professor in the School of Educational Studies at Claremont Graduate University. His areas of interest include organizational theory, leadership, policy, and quantitative research methods. Ronald H. Tabata is a Research Consultant and affiliate graduate faculty member at the University o
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.. The data used in the text and syntax examples are available at psypress/multilevel-modeling-techniques/ .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/