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.

Assessing Model Fit

For many years, researchers obsessed about the assessment of model fit: New measures of model fit were developed, and there were many debates over how to assess the fit of a model to the data. Thankfully, this flurry of activity seems to have settled down. Although these issues continue to be debated (see, e.g., Fan & Sivo, 2007) and we can anticipate further developments, we do have some reasonable agreement on a set of indices and their interpretation (Hu & Bentler, 1999).

Mplus provides a reasonably small set of indices to test model fit, although there is a much broader range of indices in the literature. Before discussing these, it is instructive to consider exactly what we mean when we claim that ...

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