An Introduction to Structural Equation Modelling
Please note: this is a pre-recorded workshop and is not run live.
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. Participants 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.
Aimed atDoctoral researchers
Key learning outcomes
By the end of this session you will:
- Have an understanding of the key concepts involved in SEM, including latent, exogenous, and endogenous variables and their graphical notation
- Have a conceptual understanding of both the measurement and structural models
- Understand the modelling procedure, including issues of model specification, data collection, model estimation, model evaluation, and model modification
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