An advanced training programme focused on building and analysing causal models using SEM to support evidence-based decision-making.
Duration: 5 Days | Level: Advanced
Introduction:
As quantitative analysis becomes central to understanding complex variable relationships, Structural Equation Modeling (SEM) has emerged as a critical methodology in research and organisational analytics. SEM integrates factor analysis and regression into a unified framework for examining direct and indirect causal relationships. This course focuses on model development, hypothesis testing, and model fit evaluation, enabling participants to construct robust analytical models that support strategic decision-making across business and research environments.