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e-Book Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series) download

e-Book Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series) download

by Scott L. Thomas,Lynn N. Tabata,Ronald H. Heck

ISBN: 184872862X
ISBN13: 978-1848728622
Language: English
Publisher: Routledge (April 12, 2010)
Pages: 356
Category: Mathematics
Subategory: Math Science

ePub size: 1920 kb
Fb2 size: 1818 kb
DJVU size: 1268 kb
Rating: 4.4
Votes: 661
Other Formats: docx txt lit rtf

Ronald H. Heck (Author), Scott L. Thomas (Author), Lynn N. Tabata (Author) & 0 more. 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

Ronald H. ISBN-13: 978-0415817110. 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.

Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout.

This book demonstrates how to use multilevel and longitudinal modeling techniques . 1. Introduction to Multilevel Modeling with IBM SPSS.

Ronald Heck and his colleagues have provided academics, graduate students, and practitioners with a resource that few can surpass. This book contains excellent details for users with varying degrees of proficiency in multilevel modelling. 2. Preparing and Examining the Data for Multilevel Analyses. 3. Defining a Basic Two-Level Multilevel Regression Model.

Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them

Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Marine Corps operations in World War II.

Multilevel and Longitudinal Modeling with IBM SPSS - Quantitative Methodology Series (Paperback). Ronald H. Tabata (author).

Lynn N. Tabata, Ronald H. Heck, Scott L. Thomas. Place of Publication. Computing: Textbooks & Study Guides. Quantitative Methodology Series.

Thomas Scott L. (EN). 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.

This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSS’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. SPSS 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. The data used in the text and syntax examples are available at http://www.psypress.com/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/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 SPSS’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.

Comments:
Katishi
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 done, what choices should be made, and shows you how to do the analysis, step-by-step in SPSS. Each example is followed by a clear "Interpreting the Output" explanation. Having said that, this is a book on sophisticated statistical analysis, so a careful reading is necessary. Chapters 1 -4 demonstrate the development of multi-level models (with examples) for cross-sectional data. Chapters 5 and beyond does the same with repeated measures (longitudinal) data. My copy now has bookmarks, high-lights and/or written comments on nearly every page. Highly recommend.

Anarahuginn
After trying multiple times to use this book I have to say that it is not that helpful. Multilevel modeling is complicated to grasp, and turning the explanatory model into an actual analysis is a key bridge. Unfortunately, that seems to be where this book falls short. It goes over and over principles that, once you understand them, become tedious to wade through. At times it goes into the minutiae of co-variance matrices etc. without explaining why one might use one vs. the other in any practical situations. Finally, when it goes through implementing examples in SPSS it wastes pages upon pages with pictures of clicking on this button and opening that menu, etc. Again, once you know how the procedure works, that becomes wasteful. Instead, it would be helpful to include WHY one clicks on a certain button but completely ignores 70% of the options. I think it might be better to read a book on theory, like those often reference within this book, and then learn the syntax version of SPSS to perform the operations on ones own.

Yalone
The book is full of great examples and clear explanations. The data sets that were provided are very helpful, both in following along with the text and constructing your own data sets for your own research questions. I've recommended it to many students.

I ℓ٥ﻻ ﻉ√٥υ
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.

Gavikelv
the book present of procedures using SPSS mixed models. it is very clear and has step-by-step instructions. However, the theoretical part is thin and there are no explanations regarding the statistical model that is in use. for example: if I have a level-2 unit with small number of cases, how does the program handle it? How is the reliability of measurement been measured? etc. These questions are not been answered by the book and therefore it fits to those of you who want to know what to do in order to receive results, but are not interested in the way the program does it.

Akta
The content of this book is very useful. It gives a comprehensive guidance in preparing data and conducting the analysis. The guidance is easily comprehend and very helpful.

Oparae
An easy to follow text on multilevel modelling that is of great value to the practitioner.

good practical guide

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