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Structural Equation Modeling$
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Natasha K. Bowen and Shenyang Guo

Print publication date: 2011

Print ISBN-13: 9780195367621

Published to Oxford Scholarship Online: January 2012

DOI: 10.1093/acprof:oso/9780195367621.001.0001

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Evaluating and Improving CFA and General Structural Models

Evaluating and Improving CFA and General Structural Models

Chapter:
(p.135) 6 Evaluating and Improving CFA and General Structural Models
Source:
Structural Equation Modeling
Author(s):

Natasha K. Bowen

Shenyang Guo

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195367621.003.0006

Sometimes instead of getting results when they run an SEM analysis, researchers are confronted with discouraging messages about programming errors, data problems, or other causes of estimation failures. This chapter first summarizes possible causes of estimation failures. It then provides guidelines for interpreting the results of successful estimation procedures both statistically and substantively. Finally, it discusses strategies for improving fit when model test results are valid (i.e., the model ran and converged, all parameters estimates are within valid ranges, and no errors are reported by the program) but unsatisfactory (i.e., fit criteria are not met).

Keywords:   structural equation modeling, social work research, SEM analysis, estimation failures, model fitness

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