This seminar on structural equation modelling (SEM) is designed as an introduction to the technique. SEM is used to test ‘complex’ relationships between observed (measured) and unobserved (latent) variables and also relationships between two or more latent variables. The module assumes participants are familiar with introductory statistics but have little or no knowledge of SEM. It will consider the appropriate use of SEM, fundamentals underlying SEM and the use of SEM notation (inc. path diagrammes). Further, the module will introduce three models fundamental to SEM: confirmatory factor analysis, causal models and measurement models. It will introduce model specification and assessment of model fit. Amos will be used to demonstrate relevant concepts.
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