Technical & Research Skills: Packages
Structural Equation Modelling
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 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 parts.
15 - 16 May 2014
09:30 - 16:30
Room F23, Aberconway Building, Colum Drive
Target Group: RS & PGR