Structural Equation Modeling
Natasha K. Bowen and Shenyang Guo
Abstract
Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. The chapters 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 ... More
Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. The chapters 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.
Keywords:
structural equation modeling,
SEM,
social work research,
SEM program,
Amos,
Mplus,
best practices,
confirmatory factor analysis,
general structure modeling
Bibliographic Information
| Print publication date: 2011 |
Print ISBN-13: 9780195367621 |
| Published to Oxford Scholarship Online: January 2012 |
DOI:10.1093/acprof:oso/9780195367621.001.0001 |
Authors
Affiliations are at time of print publication.
Natasha K. Bowen, Author
University of North Carolina, Chapel Hill
Shenyang Guo, Author
University of North Carolina, Chapel Hill
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