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Data Analysis with Mplus
Christian Geiser
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Description for Data Analysis with Mplus
Paperback. Series: Methodology in the Social Sciences. Num Pages: 305 pages, black & white illustrations, figures. BIC Classification: JMB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 156 x 236 x 14. Weight in Grams: 462.
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) ... Read morefeatures 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.
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Product Details
Publisher
Guilford Publications United States
Series
Methodology in the Social Sciences
Place of Publication
New York, United States
Shipping Time
Usually ships in 4 to 8 working days
About Christian Geiser
Christian Geiser, PhD, is a former professor of quantitative psychology. He currently works as an instructor and statistical consultant. His areas of expertise are in structural equation modeling, longitudinal data analysis, latent class modeling, multitrait–multimethod analysis, and measurement. His website is https://christiangeiser.com/.
Reviews for Data Analysis with Mplus
"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 ... Read moreKaplan, 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 Methodology and Statistics, Utrecht University, 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 - Show Less