How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
Abstract
null null Partial least squares path modeling (PLS-PM) is an estimator that has found widespread application for causal information systems (IS) research. Recently, the method has been subject to many improvements, such as consistent PLS (PLSc) for latent variable models, a bootstrap-based test for overall model fit, and the heterotrait-to-monotrait ratio of correlations for assessing discriminant validity. Scholars who would like to rigorously...
Paper Details
Title
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
Published Date
Mar 1, 2020
Journal
Volume
57
Issue
2
Pages
103168
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History