The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing

The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing This paper discusses consequences of violating the normal distribution assumption imbedded in Structural Equation Modeling (SEM). Based on real data from a large sample customer satisfaction survey we follow the procedures as suggested in leading textbooks. We document consequences of this practice and discuss its impact on decision making in marketing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2006 by Springer
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-005-4510-y
Publisher site
See Article on Publisher Site

Abstract

This paper discusses consequences of violating the normal distribution assumption imbedded in Structural Equation Modeling (SEM). Based on real data from a large sample customer satisfaction survey we follow the procedures as suggested in leading textbooks. We document consequences of this practice and discuss its impact on decision making in marketing.

Journal

Quality & QuantitySpringer Journals

Published: Mar 24, 2005

References

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