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Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Unlike most sources on SEM, this book provides clear guidelines on how to evaluate SEM output and how to proceed when model fit is not acceptable.Oftentimes, confirmatory factor analysis and general structure modeling are the most flexible, powerful, and appropriate choices for social work data. Richly illustrated with figures, equations, matrices, and tables, this pocket guide empowers social workers with a set of defensible analysis strategies that allows for competent, confident use of SEM.
This guide addresses the need for an accessible, unified resource on Structural Equation Modeling (SEM) specifically tailored for social work researchers and doctoral students. Authors Natasha K. Bowen and Shenyang Guo leverage their academic expertise to bridge the gap between highly technical statistical literature and practical application. By focusing on the specific needs of social work data, the authors provide a framework that simplifies complex modeling processes while maintaining rigorous analytical standards.
What You Will Find
Experts and students frequently cite this text as a foundational resource for navigating the complexities of SEM without the overwhelming density found in traditional statistical manuals. The book is widely recognized for its practical utility in helping researchers translate theoretical models into defensible, evidence-based social work practice.
Page Count:
240
Publication Date:
2011-09-23
Publisher:
Oxford University Press
ISBN-10:
0195367626
ISBN-13:
9780195367621
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