New Capabilities in PLS Path Modeling | Engineering Online Course by Udemy

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Learn about the most recent advances in features and capabilities available for performing PLS path modeling estimation.

An excellent training about Engineering

New Capabilities in PLS Path Modeling

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 PLSpath 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 Udemycourse. 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 andmodel 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 featuresusing various PLS path modeling packages. All of the demonstrated software, some as trial versions, are freely available to use as of the publication dateof 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), andnew visualizations for illustratinglatent variable and measurement itemrelationships. 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 novicePLS path modelers will benefit from the course’s content.

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