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.

Observed Variable Path Analysis

Path analysis with observed variables is the “oldest” variety of structural equation modeling. In contrast to the assessment of a measurement model as presented in the previous chapter, the goal of path analysis is to test a “structural” model, that is, a model comprising theoretically based statements of relationships among constructs. For an example of path analysis, I will test a model of how leadership in organizations can affect the occurrence of aggression. The data are drawn from a random survey of 588 employees. After reviewing the development and analysis of the model, we will then use these data to illustrate (a) the process of testing indirect or mediated relationships and (b) testing equality constraints using Mplus and (c) the ...

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