Course date: 8 - 13 July 2019
This 6-day course will familiarize participants with Structural Equation Modelling (SEM) and how to use SEM in testing theories that contain multiple equations involving dependence relationships. Structural equation modelling (SEM) is a statistical methodology that takes a hypothesis-testing (i.e., confirmatory) approach to the multivariate analysis of a structural theory bearing on some phenomenon. Structural equation models are used to assess unobservable “latent” constructs. They often invoke a measurement model that defines latent variables using one or more observed variables, and a structural model that imputes relationships between latent variables. SEM can examine a series of dependence relationships simultaneously. SEM is widely used in the social sciences.