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Data Analysis with Mplus (Methodology in the Social Sciences) Paperback – 22 Jan 2013

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Product details

  • Paperback: 305 pages
  • Publisher: Guilford Press; 1 edition (22 Jan. 2013)
  • Language: English
  • ISBN-10: 1462502458
  • ISBN-13: 978-1462502455
  • Product Dimensions: 1.9 x 15.2 x 23.5 cm
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: 50,048 in Books (See Top 100 in Books)
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Product description

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.


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Top Customer Reviews

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This is a great introduction to Mplus - it's very clearly written and probably the most readable & understandable SEM book I've read. It does only focus on the basics, but has some good references that point to more advanced texts. I would thoroughly recommend this to anyone new to Mplus.
Looking forward to the follow-up advanced book coming out.
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Format: Paperback Verified Purchase
If you want a textbook that it is comprehensive, easy to read and gives you a good first overview this is your book!
Ignore any reviews that say the writer does not use M-PLUS.
As with any other SEM packages, the researcher needs to prepare the data in simple statistical packages such as SPSS or STATA. So you DO want the writer to write about this step to help you move on from SPSS to M_PLUS.

On the other hand, if you want more a book to induct you into more specialised SEM techniques, this is NOT your book.

Overall, a great introductory book that puts you into the picture quickly and effectively.
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Format: Paperback Verified Purchase
A good clear guide to using Mplus. A fairly limited range of models presented but the text is informative, easy to follow and includes some useful tips. A significant flaw with this book is that not all syntax is included. In particular some of the graphs presented were not produced using Mplus. In these cases the syntax for the graphs production and the software used should be included. This is a significant omission. Finally the book is quite expensive.
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Waiting eagerly for the second book to be published, hopefully as soon as possible. I recommend this book for everyone who wants to start using Mplus and have some statistical background
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Perfect book - helped me a lot with my analysis. Could do with more details on certain aspects of the use of syntax available for different analysis.
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