Monthly Research Seminar Series – PLS-SEM: Background & The difference between Variance and Covariance Based Analysis
The Faculty of Business and Economics is pleased to invite you to a presentation from our Monthly Research Seminar Series.
Please RSVP at [email protected] or reply to the calendar invite, and indicate whether you will attend in person or virtually. More information on each of these presentations can be found below.
Date: Oct 25, 2023
Time: 1:00 pm – 2:15 pm
For any researcher, knowing how data analysis techniques work before collecting data is profoundly an important and critical step. Changing techniques would definitely change the way data should be collected. In this seminar, I will take you through one of the popular data analysis techniques, Partial Least Squares, PLS. In fact, the PLS technique works on the basis of explaining the variance of different variables or indicators and allows hypothesis testing in an elegant way. Nevertheless, some researchers come to a critical point where they want to decide whether to apply the variance based technique PLS or its cousin, the covariance based technique, SEM, Structural Equations Modelling. In this seminar, I will talk about the differences and in which situation each one should be applied. A short demo on how to use R (an open-source language) or SmartPLS (a commercial software) to apply the PLS will be shown and discussed.
Biography of Presenter:
Dr. Khaled Wahba is an adjunct faculty at a number of universities, and business & technical schools located in various countries such as Canada, the Netherlands, Romania, Peru, Colombia, Suriname, Kuwait, Egypt, Hungary, Mongolia and Vietnam. Currently, Dr. Wahba is a part-time lecturer at Algoma University, Faculty of Business and Economics, Brampton campus. Moreover, Dr. Wahba was a sessional lecturer at the University of Toronto, faculty of engineering. He was also an associate professor at Systems & Biomedical Engineering, Faculty of Engineering, Cairo University, Egypt. Dr. Wahba received his PhD from RWTH Aachen (Aachen University of Technology), Germany.
With more than 25 years of teaching experience in the academic field, Khaled has dedicated his career as a freelance professional trainer & instructor with a focus on Data Science, AI/ML, Data Analytics, Data Visualization, Decision Making, Quantitative Research Methods, Digital Transformation, Creative Thinking, Systems Thinking & System Dynamics. Individuals trained represent different sectors such as Petroleum, Cement, Pharmaceutical, Banking, Telecom, E-Business, and ICT.