Introduction to Structural Equation Modelling with Mplus

A course covering the fundamental structural equation modelling (SEM) concepts through lectures and hands-on data analysis.


We last ran this course in February 2020. For any enquiries about this course or to express interest in it, please email


Professor Gordon Cheung


This course assumes that participants have a basic understanding of regression analysis. It does not assume prior experience with structural equation modelling or Mplus.

Course outline

This two-day workshop provides:

  1. The basic concepts behind Structural Equation Modelling (SEM) and the assumptions involved,
  2. Comparison of regression and path analysis
  3. Introduction of confirmatory factor analysis with measurement model for testing content validity and discriminant validity
  4. Application of full structural model with latent variables. Hands-on data analysis with examples will be provided

At the conclusion of the workshop, participants will be able to:

  • Understand the conceptual and statistical assumptions underlying SEM
  • Write Mplus syntax for measurement model, path model and structural model with latent variables
  • Interpret results in published articles that use SEM

This is part of a suite of workshops on using Mplus.

Fee structure

Student: $NZ450

Other: $NZ900 


Cheung GW & Rensvold RB (2001). The effects of model parsimony and sampling error on the fit of structural equation models. Organizational Research Methods, 4: 235–263.

Hu L & Bentler PM (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1): 1–55.

Muthén LK & Muthén BO (1998–2015). Mplus User’s Guide (7th Edition). Los Angeles, CA: Muthén and Muthén.