Using Mplus for Structural Equation Modeling
A Researcher's Guide
- E. Kevin Kelloway - Saint Mary's University, Canada
Research Methods in Psychology | Statistical Computing Environments | Structural Equation Modeling
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.
Data files that accompany the book are also available under the "Preview" tab above.
"An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.”
This textbook fits all my needs for teaching from basic to more advanced SEM techniques.
The text is easy to follow and the examples using real data are excellent. I strongly recommend this position!!
The Author did a great with this textbook. The examples are easy to follow and the language is clear. Strongly recommended to those looking for applied SEM in context.
Very useful book for students and practitioners who want to get an introduction into SEM with Mplus. It provides insight into some main analysis techniques and guides you step by step through necessary procedures when importing a dataset into Mplus.
Chapters of the multivariate analysis course