Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures

The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in t...

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Bibliographic Details
Published in:Organizational research methods 2001-10, Vol.4 (4), p.324-360
Main Authors: Cortina, Jose M., Chen, Gilad, Dunlap, William P.
Format: Article
Language:English
Subjects:
Empirical analysis
Hypotheses
Illustrations
Indicators
Mathematical analysis
Mathematical models
Multivariate analysis
Normality
Organizational behavior
Parameter estimation
Psychology
Random variables
Statistical analysis
Statistical methods
Structural equation modeling
Studies
Utilization
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Summary:The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in the past 10 years, thus producing procedures that allow for such tests. Yet, utilization of MSEMs in empirical research has been quite rare. The purposes of this article are twofold. First, the authors discuss general issues with respect to multivariate normality, indicators of latent products, the nature of latent products, and identification problems in MSEM. Second, they review and illustrate techniques that are available for the testing of interaction effects in structural equation models.
ISSN:1094-4281
1552-7425
DOI:10.1177/109442810144002