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Refining PLS Path Modeling: Consistent Estimates and Enhanced Discriminant Validity (2)

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MagIC researchers have made significant contributions to the development of Partial Least Squares (PLS) path modeling, a technique used extensively in various fields, including the foundation of the Portuguese Customer Satisfaction Index and IT diffusion research. 

A key contribution is the introduction of Consistent PLS (PLSc). PLSc provides a correction for estimates when applying PLS to reflective constructs, a common scenario in many research models. Another significant contribution is the development of a new method for assessing discriminant validity. This advancement is detailed in the impactful publication which, according to the University of Florida, was the world's most impactful marketing paper.

This foundational research has impacted thousands of researchers and practitioners who use PLS to test theories or perform predictions. Furthermore, it directly led to the creation of the Portuguese Customer Satisfaction Index. This measurement system assesses the quality of products and services offered in the national market, ultimately aiding companies, regulators, and the government in making strategic decisions and enhancing competitiveness. 



Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(1), 27-52. 

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.