Using Mplus for Structural Equation Modeling: A Researcher′s Guide

Using Mplus for Structural Equation Modeling: A Researcher′s Guide

<p style="margin: 0in 0in 0pt;"><span style="color: black;">Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, <strong>Using Mplus for Structural Equation Modeling</strong> provides a </span><span style="background: white;">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 </span><em><span>Using LISREL for Structural Equation Modeling</span></em><span style="background: white;">, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. </span><span style="color: black;">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 </span><span style="background: white;">covers multilevel modeling for hypothesis testing in real life settings and offers </span><span style="color: black;">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.</span></p><br /><p style="margin: 0in 0in 0pt;"><span style="color: black;">                                                      </span></p><br /><p style="margin: 0in 0in 0pt;"><span style="color: black;">”An <strong>excellent book</strong> on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.” </span><span style="color: black;">—<strong>Kevin J. Grimm</strong>, <em>University of California, Davis</em></span></p>