Advanced: Structural Equation Modelling

Course description

Structural equation modelling is a family of statistical techniques aimed to build and test more complex statistical models. It can be used as a more powerful and general alternative to multiple regression, path analysis and factor analysis (which in fact can be seen as special cases of SEM).

The course is aimed to be practically oriented with extensive use of the IBM AMOS and Stata statistical packages.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event. Please contact stats.consultant@flinders.edu.au if you have any questions relating to this course.

Type of course

Web conference

Presenters

Who should attend

Staff and research higher degree students

What you will learn

• Basics and assumptions of SEM
• Multiple regression and path models within the SEM framework
• Assessing model fit
• Modifying a SEM model
• Confirmatory factor analysis 

Prerequisites / assumed knowledge

Preferably participants should attend Introduction to SPSS, Introduction to Stata, Introduction to Statistical Analysis, Intermediate: Understanding Your Data and Checking Assumptions, Intermediate: Correlation and Intermediate: Multiple Regression (or have an understanding of concepts/skills covered in the listed above courses) before enrolling in this workshop.