Structural Equation Modelling (SEM)

Course content
  • Structural Equation Modeling: An Introduction
  • Confirmatory Factor Analysis
  • Testing a Structural Model
  • Formative  constructs, higher-order CFA, and multi-group models
  • Testing for mediation and moderation using SEM procedures and assessing measurement bias
  • Reflective activities – use SEM procedures to address contemporary research problems
Learning Objectives
By the end of this course participants will be able to:
  • Understand the distinguishing characteristics of Structural Equation Modeling
  • Explain the type of relationships involved in SEM
  • Understand the role of theory in developing structural equation models
  • Understand the difference between a measurement model and a structural model
  • Understand the differences between formative and reflective constructs
  • Know how to represent a measurement and a structural model using a path diagram
  • Test confirmatory factor analysis (CFA) and structural models
  • Assess the goodness-of-fit of measurement and structural models
  • Assess construct validity and reliability using SEM procedures
  • Test structural models that involve mediating and moderating effects
  • Perform multi-group analysis 

Who is the program designed for:
Participants should be familiar with basic statistics and should know how to run a correlation analysis, linear regression and t-test. No prior knowledge of Structural Equation Modelling software is necessary.  The course is appropriate for doctoral students and academic researchers that use quantitative research methodologies.