Over the past several years, a significant number of new PLS path modeling (PLS-PM) approaches, techniques, and capabilities have been published in the leading academic and scientific journals. As a methodological field, variance-based path modeling with latent variables has witnessed more new, published technological advancements and developments than in the preceding two decades.
This 7-session course teaches many of these new concepts and how to specify and model them with various PLS path modeling softwares available today. All of the demonstrated softwares, some as trial versions, are freely available to use as of the publication date of this Udemy course. Use the convenient new over-the-Internet PLS-GUI "Software as a Service" (SaaS) path modeling software platform with the capability to perform PLS-PM from any computer in the world using only a browser. Securely access, upload and/or download, and reliably estimate your PLS data files and/or modify and manipulate your PLS project and model files from any computer in the world. In addition to providing the convenience and speed of using the PLS-GUI SaaS platform, the workshop also instructs with respect to using the new ADANCO composite modeling PLS software which participants may install on their Windows or Mac computer.
This is a "hands-on" course which explains the basis of many new PLS path modeling estimation capabilities and features, and which then proceeds to demonstrate numerous examples of these new capabilities and features using various PLS path modeling packages. All of the demonstrated software, some as trial versions, are freely available to use as of the publication date of this course.
New PLS-PM capabilities and features which are explained and demonstrated include consistent PLS and non-linear PLS algorithm estimation, N-group multi-group analysis (MGA), prediction-oriented segmentation (PLS-POS) and genetic-algorithm segmentation (PLS-GAS), and new visualizations for illustrating latent variable and measurement item relationships. New approaches and techniques for estimating complex mediating and moderating relationships are explained and demonstrated. Also covered are a variety of new resampling techniques applicable to PLS-PM with bootstrapping, jackknifing, and blindfolding.
It is useful, but not essential, to have some knowledge of PLS path modeling before you take this course. However, even novice PLS path modelers will benefit from the course's content.
Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master's and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL; an MA in Economics, also from USF; an MBA in Finance from George Mason University in Fairfax, VA; and a BA in Psychology from the University of Virginia in Charlottesville, VA. He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.