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 autoregressive approaches to data analysis.
Principal among these are the simultaneous estimation of all theoretical parameters (pathways) in a given ‘model’, the ability to take account of measurement error, the provision of an estimate of model ‘fit’, and the ease with which reciprocal influences between mutually dependent variables may be determined.
By the end of the course you will:
- be familiar with the statistical and theoretical underpinnings of structural equation modelling
- be familiar with factor analytic and path analytic traditions in relation of SEM
- understand the principles of 'model' specification, estimation and identification
- be introduced to software applications that permit SEM analysis (specifically AMOS)
|Day 1||16 May 2013||09:30 - 16:30||Room F23, Aberconway Building|
|Day 2||17 May 2013||09:30 - 16:30||Room F23, Aberconway Building|
Target Group: RS & PGR