A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

W. Chin, Wynne; L. Marcolin, Barbara; R. Newsted, Peter

doi:10.1287/isre.14.2.189.16018

Public

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

Published in Information Systems Research • Jun 1, 2003

Authors:

Wynne W. Chin

Barbara L. Marcolin

Peter R. Newsted

Abstract

The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions ...

Subject

Monte Carlo method

Latent variable

Econometrics

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