This workshop is an advanced training designed for researchers, academics, and professionals with a basic understanding of SEM who want to improve their skills in using SEM techniques with the Partial Least Squares (PLS) approach. This workshop will explore advanced applications of SEM with PLS, including complex data handling, hierarchical models, and advanced hypothesis testing. The material will cover specialized techniques, the use of PLS software with advanced features, as well as case studies and in-depth analysis.

Objectives

• Understand Advanced SEM Techniques with PLS: Provide an in-depth understanding of advanced techniques in SEM with PLS, such as reflective and formative measurement models, and hierarchical models.
• Analyze Complex Data: Teaches how to handle and analyze complex data, including longitudinal and multi-group data, using PLS methods.
• Model Optimization and Validation: Helps participants understand how to optimize SEM models with PLS and conduct thorough model validation.
• Use of Advanced Software Features: Introduces the use of advanced features in PLS software, such as SmartPLS or WarpPLS, for more complex analyses.
• Advanced Case Studies: Provides challenging case studies to apply learned techniques in more complex and real-world contexts.

Benefits

• Technical Skills Enhancement: Deepens knowledge and skills in SEM techniques with PLS, enabling participants to handle more complex models and more diverse variables.
• More Sophisticated Data Analysis: The ability to analyze data with higher complexity, such as hierarchical or multi-group models, improves the quality and depth of research results.
• Model Optimization and Validation: Improved ability to optimize and validate models more effectively, thus ensuring that the developed models have high validity and reliability.
• Use of Advanced Features: Utilize advanced features in PLS software for more in-depth and technical analysis.
• Real Applications: Application of techniques through advanced case studies provides practical experience in addressing real-world research challenges and enhances understanding of SEM with PLS applications in a professional context.
• Professional Development: Enhance competencies as a researcher or professional with advanced skills in SEM with PLS, which can strengthen professional profiles and improve career opportunities.