A. Alexander Beaujean

Latent Variable Modeling Using R (eBook, PDF)

A Step-by-Step Guide

• Format: PDF

Produktbeschreibung

This accessible guide focuses on lavaan to help readers understand latent variable model (LVMs) and their analysis in R. The reasoning behind the syntax selected is provided along with multidisciplinary examples. Chapters feature key terms, interpretations of output, examples of how to write about the results, exercises with solutions, and related readings. The website provides the data for the examples and exercises and R syntax so readers can replicate the analyses. Readers learn to enter data into R and obtain and interpret values. Written for R and LVM novices, the book prepares students and researchers to write about and interpret LVM results obtained in R.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 218
• Erscheinungstermin: 9. Mai 2014
• Englisch
• ISBN-13: 9781317970736
• Artikelnr.: 40883634

Autorenporträt

A. Alexander Beaujean is an Associate Professor in Educational Psychology at Baylor University.

Inhaltsangabe

Preface. 1. Introduction to R. 2. Path Models and Analysis. 3. Basic Latent
Variable Models. 4. Latent Variable Models with Multiple Groups. 5. Models
with Multiple Time Periods. 6. Models with Dichotomous Indicator Variables.
7. Models with Missing Data. 8. Sample Size Planning. 9. Hierarchical
Latent Variable Models. Appendix A. Measures of Model Fit. Appendix B.
Additional Packages. Appendix C. Exercise Answers. Glossary.