Simple, Efficient and Distribution-free Approach to Interaction Effects in Complex Structural Equation Models

Simple, Efficient and Distribution-free Approach to Interaction Effects in Complex Structural... Structural equation models with mean structure and non-linear constraints are the most frequent choice for estimating interaction effects when measurement errors are present. This article proposes eliminating the mean structure and all the constraints but one, which leads to a more easily handled model that is more robust to non-normality and more general as it can accommodate endogenous interactions and thus indirect effects. Our approach is compared to other approaches found in the literature with a Monte Carlo simulation and is found to be equally efficient under normality and less biased under non-normality. An empirical illustration is included. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Simple, Efficient and Distribution-free Approach to Interaction Effects in Complex Structural Equation Models

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Publisher
Springer Netherlands
Copyright
Copyright © 2006 by Springer Science + Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-006-9050-6
Publisher site
See Article on Publisher Site

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