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.


A couple of years ago I noticed a trend. I am a subscriber to RMNET, the list server operated by the Research Methods Division of the Academy of Management. Members of the division frequently post questions about analytic issues and receive expert advice. “How do I do confirmatory factor analysis with categorical variables?” “How do I deal with a binary outcome in a structural equation model?” “How I can I test for multilevel mediation?” The trend I noticed was that with increasing frequency, the answer to these, and many other, questions was some variant of “Mplus will do that.” Without having ever seen the program, I began to think of Mplus as some sort of analytic Swiss Army knife with a tool for ...

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