What is Structural Equation Modelling? by Nick Shyrane

The full length methods@manchester video can be watched for free at http://www.methods.manchester.ac.uk/methods/sem/

Structural Equation Models (SEMs) are statistical models, used primarily to evaluate whether theoretical models are plausible when compared to observed data. SEMs are very general, so for example regression and factor analysis are both just special cases of SEM.

Theory in the social sciences tends to be rich and complex, where multiple outcomes are seen as the result of multiple interacting factors and chains of mediation. Standard regression analysis cannot represent such theories in a single model, forcing the researcher to evaluate only partial or constrained models. SEMs allow for the representation of complex theory in a single, integrated model.

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