Cost $550AUD
For more information see https://www.insightrsa.com/introduction-to-structural-equation-modelling

Structural Equation Models have a number of advantages over simple regression models including the modelling of pathways (eg. variable A predicts B, which predicts C, which predicts D) and the inclusion of latent variables (variables which are not measured directly during data collection, but whose values are determined during the statistical modelling).

In this workshop we will cover:
* Foundations of SEM (Including correlation, regression, latent and measured variables)
* The stages of fitting an SEM model (specification, identification, estimation, testing, and modification)
* Assessing model fit
* Fitting a number of models using SEM including (Regression models, Path models, Confirmatory factor analysis, Multilevel models, Latent growth models)
* Advice on reporting SEM results