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Data Analysis with Mplus (Methodology in the Social Sciences), by Christian Geiser
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A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (www.guilford.com/geiser-materials) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.
- Sales Rank: #172986 in Books
- Brand: Geiser, Christian
- Published on: 2012-11-14
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 6.00" w x .75" l, .90 pounds
- Binding: Paperback
- 305 pages
- Used Book in Good Condition
Review
"Mplus is arguably the most flexible commercially available software program for SEM and all of its special cases. Geiser has provided an admirable service to the community of researchers who use Mplus with this highly readable book. The book is an indispensable companion to more advanced SEM texts and is certainly an important supplementary text for graduate courses on SEM."--David Kaplan, PhD, Department of Educational Psychology, University of Wisconsin-Madison�
"More and more researchers all over the world are using Mplus. I know of no other book that provides such a truly helpful tutorial on everything from the very first steps to how to run complicated SEM models like latent growth models. Beginners will very much appreciate how much attention the author pays to the basics. Many easy-to-make mistakes can be prevented by keeping this book within arm's reach. It is perfect for researchers at any career stage seeking an accessible, informative introduction to analyzing data with Mplus."--Rens van de Schoot, PhD, Department of Methods and Statistics, Utrecht University, The Netherlands
"This text combines an extensive tutorial in Mplus programming with clear descriptions of the statistical models being implemented. Coverage includes standard path and factor analytic models, as well as longitudinal, multilevel, and latent class models. Many real examples are analyzed throughout the book, with careful explanations of syntax, screen shots to help navigate the program, and thorough discussions of results. The companion website provides the data, input, output, and annotated syntax files for all examples. This book will be of great interest to students and researchers who want not only to learn about Mplus, but also to gain a better understanding of SEM."--Roger E. Millsap, PhD, Department of Psychology, Arizona State University
"Absolutely fantastic! I really wish I had had this book when I was a grad student. I will strongly recommend it to my own students, as well as to colleagues who ask for help with Mplus. The breadth of statistical techniques covered goes far beyond conventional SEM and makes this a valuable resource for both new and experienced Mplus users."--Alex Bierman, PhD, Department of Sociology, University of Calgary, Canada
About the Author
Christian Geiser, PhD, is Assistant Professor in the Department of Psychology at Utah State University in Logan. His methodological research focuses on the development, evaluation, and application of latent variable psychometric models for longitudinal and multimethod data. In his substantive research, he focuses on individual differences in spatial abilities and how they can be explained.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Good basic information for people just learning MPLus
By Trecia Wouldes
I found this book very useful, but it would be good to have an updated version that included a broader range of models, for instance Latent Profile Analysis, not just LCA. One of the most useful things about this book were the tips on preparing data to be transferred from SPSS so that it could be used in MPlus. This isn't covered very well in the MPlus Manual. In addition, there are numerous tips throughout for the novice user of MPLus. Well worth the money.
1 of 1 people found the following review helpful.
Great book for SEM
By Grad Student
I'm using this in addition to the Structural Equation Modeling book by Kenneth Bollen. It's a very helpful complement, and would probably be useful on its own if you had a strong base understanding of the statistical techniques already and just needed to get more information on modeling in Mplus.
0 of 0 people found the following review helpful.
Detail-obsesive, practical and pedagogic
By Ricardo Medina
This book was the perfect complement to my Advanced Statistic seminair in the PhD. In the live discussions we had the chance to analyze the benefits and applications of different data analysis techniques, while professor Geiser explains with perfect germanic order the HOW TO to prepare the data, program in MPlus, parametrize the analysis and interpret the results.
A note of caution: You will need the software, your hypothesis and databases to actually make good use of the book.
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