About Course
Partial Least Squares Structural Equation Modeling (PLS-SEM) has emerged as a powerful statistical technique for analyzing complex relationships among observed and latent variables, especially in exploratory research and predictive modeling. This comprehensive course, PLS-SEM: Basic to Advanced, is designed to guide you from foundational principles to the most advanced applications of PLS-SEM, making it ideal for students, researchers, and professionals in the social sciences, business, marketing, information systems, and related fields.
Structured into progressive modules, the course covers the theoretical underpinnings of PLS-SEM, measurement model evaluation, structural model assessment, model fit indices, and multigroup analysis. You’ll also get hands-on training using popular software such as SmartPLS, enabling you to analyze real datasets and interpret results with confidence.
Whether you’re working on a thesis, dissertation, journal publication, or applied research project, this course equips you with the necessary tools and best practices to perform high-quality SEM analysis using the PLS approach.