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

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

doi:10.1287/isre.14.2.189.16018

Record: found
Abstract: not found
Article: not found

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

Author(s): Wynne W. Chin , Barbara L. Marcolin , Peter R. Newsted

Publication date Created: June 2003

Publication date (Print): June 2003

Journal: Information Systems Research

Publisher: Institute for Operations Research and the Management Sciences (INFORMS)

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Related collections

Most cited references 61

Record: found
Abstract: found
Book: not found

An Introduction to the Bootstrap

Bradley Efron, R.J. Tibshirani (1994)

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.