The use of Partial Least Square-Structural Equation Modelling (PLS-SEM) is now gaining popularity for both college/university student for their thesis/dissertation projects. One of the challenge that faced by some of the students is how the use and interpret the outputs of the common statistical software for SEM such as SmartPLS 3 and Stata. These package have a relevant application that can build PLS-algorithm and provides the goodness of fit statistics. This course is designed to provide a class support for students that face difficult in use of either Stata or Smartpls 3 for SEM. The course will covers the numerical analysis with both Stata and Smartpls3 software, running and interpreting the PLS -SEM outputs of stata and smart pls 3. Moreover, the course will cover the evaluation of outer and inner measurement models of the SEM , and test of the goodness of fit.

The quality of academic paper and publication are two issues which are very important to a college/university students as well as the management professional. Most of the academic work rejected at early stage of journal publication process due to fact that, either a paper is poorly technically written or/and have methodology weakness. Most of the students and beginner researchers suffer that journal publication rejection. Therefore, I designed this course to help the college/university students elsewhere to enable them to prepared a quality academic and making fast publication. The course will reduce the publication rejection for students as well as other non-professional researchers. In this course, the students will learn the parts of the academic paper, language use in reporting academic paper, research design, strategies, approaches, and data analytics tools, and organizing the academic paper for publication