<p>“Wise social scientists will make a beeline for the 2^nd edition of David Kaplan's classic text. An essential read for students and professionals who want to move beyond cookbook presentations with checklists towards deeper understanding and thoughtful application.” </p><p>-Judith D. Singer, <i>Harvard</i><i> University</i></p><p></p><p>Using detailed, empirical examples, <b>Structural Equation Modeling, Second Edition,</b> presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. </p><p></p><p>Thoroughly revised to address recent developments, this new edition includes:</p><p></p><ul><li>The foundations of SEM, including path analysis and factor analysis.</li><li>Traditional SEM for continuous latent variables, including latent growth curve modeling for continuous growth factors, and issues in testing assumptions of SEM.</li><li>SEM for categorical latent variables, including latent class analysis, Markov models (latent and mixed latent), and growth mixture modeling.</li><li>Philosophical issues in the practice of SEM, including the problem of causal inference.</li></ul><p></p><p><b>Intended Audience</b></p><p></p><p>While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.</p><p></p><p></p><p></p><p></p>