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.
Having considered the general approach to be used in structural equation modeling, it is now time to consider the specifics of using Mplus to estimate and evaluate such models. In Mplus there are two files; one contains the data and one contains the Mplus commands or instructions. The latter is created in the Mplus environment, and we will discuss the most common Mplus commands and their usage. Creation of the data file is a little more complex.
The Data File
It is probably fair to say that most social science researchers use a general statistical program such as SPSS or Stata to analyze their data. Indeed, one is probably better off using such a program to do data manipulation, compute scales, and so forth. ...