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Data analysis with Mplus

Author: Christian Geiser
Publisher: New York : The Guilford Press, [2013] ©2013
Series: Methodology in the social sciences.
Edition/Format:   Print book : English : English editionView all editions and formats
Database:WorldCat
Summary:
"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  Read more...
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Document Type: Book
All Authors / Contributors: Christian Geiser
ISBN: 9781462502455 1462502458 9781462507825 1462507824
OCLC Number: 794362938
Language Note: In English; translated from German.
Description: xiii, 305 pages : illustrations ; 24 cm.
Contents: 1. Data Management in SPSS --
2. Reading Data into Mplus --
3. Linear Structural Equation Models --
4. Structural Equation Models for Measuring Variability and Change --
5. Multilevel Regression Analysis --
6. Latent Class Analysis --
Appendix A: Summary of Key Mplus Commands Discussed in This Book --
Appendix B: Common Mistakes in the Mplus Input Setup and Troubleshooting --
Appendix C: Further Readings.
Series Title: Methodology in the social sciences.
Other Titles: Datenanalyse mit Mplus.
Responsibility: Christian Geiser.
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Abstract:

"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 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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"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 Read more...

 
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