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Data Analysis with Mplus: Methodology in the Social Sciences [Print Replica] [Kindle Edition]

Christian Geiser
4.8 out of 5 stars  See all reviews (4 customer reviews)

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  • Print Replica:
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  • Print ISBN-10: 1462502458
  • Print ISBN-13: 978-1462502455
  • Edition: 1 Tra
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Book Description

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.


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, , University of Wisconsin-Madison, USA

"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, Utrecht University, The Netherlands

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.


Product details

  • Format: Kindle Edition
  • File Size: 17893 KB
  • Print Length: 305 pages
  • Publisher: The Guilford Press; 1 Tra edition (5 Dec. 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00FP531ME
  • Text-to-Speech: Not enabled
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  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: #898,268 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

Customer Reviews

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Top Customer Reviews
5.0 out of 5 stars Great primer! 30 July 2013
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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4.0 out of 5 stars Useful but could be better 28 Feb. 2013
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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1 of 1 people found the following review helpful
5.0 out of 5 stars Great introduction to SEM and Mplus 29 April 2013
By Sara
Format:Paperback|Verified Purchase
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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5.0 out of 5 stars Excellent book. 15 Nov. 2013
By JackBox
Format:Paperback|Verified Purchase
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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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.6 out of 5 stars  7 reviews
2 of 2 people found the following review helpful
4.0 out of 5 stars Good basic information for people just learning MPLus 12 May 2014
By Trecia Wouldes - Published on Amazon.com
Format:Paperback|Verified Purchase
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
5.0 out of 5 stars Great book for SEM 15 Feb. 2014
By Grad Student - Published on Amazon.com
Format:Paperback|Verified Purchase
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.
5.0 out of 5 stars Detail-obsesive, practical and pedagogic 10 Jun. 2014
By Ricardo Medina - Published on Amazon.com
Format:Paperback|Verified Purchase
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.
5.0 out of 5 stars Of course you need to use it in combination with a more theoretical text to help make decisions on which approach is best for yo 29 April 2015
By Tina912 - Published on Amazon.com
Format:Paperback|Verified Purchase
I'm in the midst of analyzing my dissertation data and just need to stop and say this book is a godsend. Of course you need to use it in combination with a more theoretical text to help make decisions on which approach is best for your research questions, but I admit I am getting more useful information out of this than my theoretical text and the MPlus Q&A forums. Thank you Dr. Geiser.
5.0 out of 5 stars Very well written 15 Feb. 2014
By Nathan Smith - Published on Amazon.com
Format:Paperback|Verified Purchase
The author does a great job at making mplus accessible with ample examples. Definitely a book I'll keep in my collection.
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