Structural Equation Modelling in R


27/03/2023 - 31/03/2023

Organised by:

University of Cambridge Psychometrics Centre


Dr Aiden Loe, Dr Luning Sun & Dr Joe Watson


Entry (no or almost no prior knowledge)


The Psychometrics Centre, Cambridge Judge Business School
Telephone: +44 (0) 1223 769483


View in Google Maps  (CB2 1AG)


The Psychometrics Centre, Cambridge Judge Business School, Trumpington Street, Cambridge


3.5 or 5 Day Course: Structural Equation Modelling in R

This face-to-face course offers an engaging introduction to Structural Equation Modelling (SEM) using R, the popular open-source software for statistical computing and graphics. The course will run over 5 consecutive days and combine lectures, individual exercises and group discussions in a classroom environment. High contact with our expert instructors and interactive group work will further contribute to the classic Cambridge experience.

This course will present the lavaan package, rapidly becoming the tool of preference for SEM in R. Participants will actively work through practical examples to gain first-hand experience in the application of factor analysis and other advanced latent trait models. We will also introduce ggplot2, a simple R package for data visualisation. You will learn the following topics in this course:  

  • Introduction to R and data analysis
  • Graphical representations of data points and latent trait models
  • Basic concepts of factor analysis (EFA/CFA/Categorical CFA)
  • Basic and advanced Structural Equation Models (SEM)
  • Application of mediation & moderation techniques and bootstrapping estimator
  • Multiple-group analysis and evaluation of continuous and categorical data measurement invariance, as well as longitudinal measurement invariance
  • Latent growth curve modelling

You don’t need to know R to follow the course. However, if you are not familiar with R, you will need to choose the 5 day option, which includes an introduction to the R software on Day 1. On completion, participants should have a good knowledge of the topics covered and have acquired an independent use of R and latent trait analysis.

We believe in active learning and developing practical skills. Thus, the necessary theoretical introduction will be illustrated with practical examples and we will be working with real data. No prior knowledge about SEM is assumed. The pace of teaching is adjusted to suit the level of the participants. Teaching will be in small groups so that delegates can make the most of the teaching.


Starting from £785 (including lunch)

Website and registration:


East of England


Quantitative Data Handling and Data Analysis, Latent Variable Models, ICT and Software

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Latent Variable Models
ICT and Software

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