AQM Introduction to Structural Equation Modelling

This Advanced Quantitative Methods training is open to all ESRC and non-ESRC funded students within the seven WRDTP partner institutions. Students are welcome from all seven interdisciplinary Pathways.

This introductory workshop on structural equation modelling using R. Structural equation models (SEMs) are a diverse class of statistical models that include path analysis, confirmatory factor analysis, and models with structural and measurement components. SEMs are often used to measure unobservable “latent” constructs, which can be used to test relationships between observed and unobserved variables. SEMs can also be used to test for mediation or indirect effects, as well as to simultaneously estimate complex systems of relationships (i.e., multiple outcomes of interest).

No prior experience with R is necessary (although it would be helpful to familiarise yourself with R and R Studio before the session; You can do this by working through the ‘Introduction to R materials’ on the WRDTP VIRE (please contact training@wrdtp.ac.uk if you are unsure of your VIRE username and password). You should install R onto your computer before the session begins.

Speaker

Todd is a political scientist and joined the Sheffield Methods Institute in 2014. Prior to this, he was Assistant Professor of Political Science at Appalachian State University and Director of Survey Research for the Centre for Economic Research and Policy Analysis. He is a graduate of the University of California at Davis (BA in International Relations), San Francisco State University (MA International Relations), and State University of New York at Stony Brook (PhD Political Science). Todd has extensive experience conducting surveys and experiments, and his research focuses on political psychology (especially political attitudes and intergroup relations).