An Introduction to Structural Equation Modelling
Structural Equation Modelling (SEM) is a powerful multivariate statistical technique which enables researchers to examine several regression equations simultaneously. This session will provide an introduction to the key concepts involved in SEM, including latent, exogenous, and endogenous variables and their graphical notation. Students will also be introduced to the concepts of both the measurement and structural model, before being taken on a step-by-step journey through the process of data analysis, stopping off on the way to consider issues of model specification, data collection, model estimation, model evaluation, and model modification. The session will conclude with a demonstration of how to interpret the output of an SEM analysis and to report the findings/revealed model correctly using both text and appropriate diagrams/figures.
The Vitae Researcher Development Framework
This session maps on to Domain A of the Vitae Framework: Knowledge and intellectual abilities which includes the sub-domain areas of:
- A1: Knowledge base
- A2: Cognitive abilities
- A3: Creativity