Gregory R. Hancock and Ralph O. Mueller . Structural Equation Modeling: A Second Course . Greenwich , CT : Information Age Publishing , 2006 , 430 pages, $434.95 softcover . Reviewed by Zachary N. J. Horn, Industrial/Organizational Analyst, Aptima Inc., Washington, DC, and J. Matthew Beaubien, Lead Scientist for Leadership and Culture Development, Aptima, Inc., Woburn, MA. During their graduate coursework, many behavioral and social scientists take an introductory course on structural equation modeling (SEM). With the aid of several didactically oriented texts that focus on conceptual issues rather than complex matrix algebra (e.g., Byrne, 1998 ; Kline, 2004 ; Schumacker & Lomax, 2004 ), these students should be able to master basic SEM concepts such as model specification, model identification, fit indices, and the like. However, even the best introductory SEM course is limited in what it can cover during a single semester. As a result, many critical SEM topics—such as interaction effects, feedback loops, and power analysis—cannot be addressed in detail. Recently, an increasing number of graduate programs have begun to offer intermediate‐level SEM courses to address these previously ignored issues. However, many of these advanced topics were discussed largely in peer‐reviewed journal articles that emphasize
Personnel Psychology – Wiley
Published: Jun 1, 2007
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