Structural Equation Modeling in Marketing: Some Practical Reminders

The authors review issues related to the application of structural equation modeling (SEM) in marketing. The discussion begins by considering issues related to the process of applying SEM in empirical research, including model specification, identification, estimation, evaluation, and respecificatio...

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Bibliographic Details
Published in:Journal of marketing theory and practice 2008-09, Vol.16 (4), p.287-298
Main Authors: Chin, Wynne W., Peterson, Robert A., Brown, Steven P.
Format: Article
Language:English
Subjects:
Behavior modeling
Best practice
Covariance
Covariance matrices
Decision making
Error rates
Extracurricular activities
Marketing
Mathematical independent variables
Modeling
Parametric models
Sample size
Sampling error
Statistical methods
Structural equation modeling
Structural equation models
Studies
Variables
Citations: Items that cite this one
Online Access:Get full text
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Description
Summary:The authors review issues related to the application of structural equation modeling (SEM) in marketing. The discussion begins by considering issues related to the process of applying SEM in empirical research, including model specification, identification, estimation, evaluation, and respecification, and reporting of results. In addition to these process issues, a number of other issues, such as formulation of multiple theoretical models, model error versus sampling error, and relating study objectives to the capabilities of SEM, are considered, and suggestions offered regarding ways that SEM applications might be improved.
ISSN:1069-6679
1944-7175
DOI:10.2753/MTP1069-6679160402