Using Mplus for Structural Equation Modeling
eBook - ePub

Using Mplus for Structural Equation Modeling

A Researcher′s Guide

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Using Mplus for Structural Equation Modeling

A Researcher′s Guide

About this book

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.

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Yes, you can access Using Mplus for Structural Equation Modeling by E. Kevin Kelloway in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Acknowledgments
  9. About the Author
  10. 1 Introduction
  11. 2 Structural Equation Models Theory and Development
  12. 3 Assessing Model Fit
  13. 4 Using Mplus
  14. 5 Confirmatory Factor Analysis
  15. 6 Observed Variable Path Analysis
  16. 7 Latent Variable Path Analysis
  17. 8 Longitudinal Analysis
  18. 9 Multilevel Modeling
  19. References
  20. Index
  21. Publisher Note