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Structural Equation Modelling
Domain: A1 Knowledge base

Structural Equation Modelling (SEM) represents an integrative statistical technique that combines factor analytic and path analytic traditions into a single data analytic framework. SEM confers a number of advantages over more traditional approaches to data analysis. Principal among these are the simultaneous estimation of all pathways in a given ‘model’, the ability to take account of measurement error, and the provision of an estimate of model ‘fit’. This two-day hands-on course represents an introductory level overview of SEM for the applied researcher using AMOS software. Through attendance, you will:
* be familiar with the statistical and theoretical underpinnings of SEM
* be familiar with factor analytic and path analytic traditions of SEM
* understand the principles of ‘model’ specification, estimation and identification
* be introduced to software applications that permit SEM analysis (specifically AMOS)
NB: SEM is most suited to researchers with broadly normally distributed data with an ‘n’ or anticipated ‘n’ greater than 100. Participants are expected to attend both days.

This is a multi part workshop comprising of 2 parts