9781462502455-1462502458-Data Analysis with Mplus (Methodology in the Social Sciences Series)

Data Analysis with Mplus (Methodology in the Social Sciences Series)

ISBN-13: 9781462502455
ISBN-10: 1462502458
Edition: Translation
Author: Christian Geiser
Publication date: 2012
Publisher: The Guilford Press
Format: Paperback 305 pages
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Book details

ISBN-13: 9781462502455
ISBN-10: 1462502458
Edition: Translation
Author: Christian Geiser
Publication date: 2012
Publisher: The Guilford Press
Format: Paperback 305 pages

Summary

Data Analysis with Mplus (Methodology in the Social Sciences Series) (ISBN-13: 9781462502455 and ISBN-10: 1462502458), written by authors Christian Geiser, was published by The Guilford Press in 2012. With an overall rating of 3.5 stars, it's a notable title among other Statistics (Education & Reference, Mathematical & Statistical, Software, Nursing, Methodology, Social Sciences) books. You can easily purchase or rent Data Analysis with Mplus (Methodology in the Social Sciences Series) (Paperback) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $12.9.

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.

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