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Christian Geiser - Data Analysis with Mplus - 9781462502455 - V9781462502455
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Data Analysis with Mplus

€ 61.24
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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 more

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Product Details

Publisher
Guilford Publications United States
Number of pages
305
Format
Paperback
Publication date
2013
Series
Methodology in the Social Sciences
Condition
New
Number of Pages
305
Place of Publication
New York, United States
ISBN
9781462502455
SKU
V9781462502455
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

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 more

Goodreads reviews for Data Analysis with Mplus


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