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OverviewFull Product DetailsAuthor: Christian Geiser (Utah State University, United States) , David Kaplan , Rens van de Schoot , Roger E MillsapPublisher: Guilford Publications Imprint: Guilford Press Edition: annotated edition Dimensions: Width: 15.60cm , Height: 1.50cm , Length: 23.40cm Weight: 0.454kg ISBN: 9781462502455ISBN 10: 1462502458 Pages: 305 Publication Date: 22 January 2013 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsReviewsMplus 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 <p> 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 <br><br> 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<br><br> 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 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 Author InformationChristian 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/. Tab Content 6Author Website:Countries AvailableAll regions |
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