skip to content

The Psychometrics Centre

Cambridge Judge Business School

3.5 or 5-Day Live Online Course: Structural Equation Modelling in R

Date: 4-8 December 2023

Location: Online Course (via Zoom) *Troubleshooting Info

Tutors: Dr Luning Sung, Dr Aiden Loe, Dr Joseph Watson

Book here

This live online course (administered via Zoom) 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 will combine synchronous live lectures, individual exercises, group discussions and small group supervisions to simulate a live classroom environment. High contact with our expert instructors and interactive group work will further contribute to recreating the classic Cambridge experience in an online setting.

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 more 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.


Upon successful completion of the course and attendance of all sessions, participants will receive a digital copy of their Certificate of Attendance, signed by the course instructors and displaying the University of Cambridge Psychometrics Centre logo.

Click to pay by card or request an invoice (Price per delegate exc. VAT):

5 days (Monday AM to Friday PM)

Register as an individual:

Business: £945 l Academic: £795 l Student: £695

Register through an organisation:

Business: £945 l Academic: £795 l Student: £695


3.5 days (Tuesday PM to Friday AM)

Register as an individual:

Business: £795 l Academic: £645 l Student: £545

Register as an organisation:

Business: £795 l Academic: £645 l Student: £545


Before attending:

1. Install the Zoom Client for Meetings. You will receive an invite to the Zoom sessions from instructors after course registration. The native client works better than the browser plug-in.

2. Install the latest version of R from

3. Install the latest version of RStudio from 

4. Make sure you have a stable internet connection and that your microphone, headphones and webcam are all working in Zoom. You will need to use these throughout the course to communicate with instructors and other delegates.

5. You can expect to receive a Zoom link one week before the course


Teaching plan:

Teaching plan:

Each day will require around 6 hours of contact time from each delegate, plus breaks. Sessions are varied and incorporate lectures, individual exercises, group work and small group supervision, split between the morning and afternoon sessions.


Morning Session (09.30-10.50, 11.10-12.30)

Afternoon Session (14.00-15.20, 15.40-17.00)

Day 1

  • Introduction to R
  • Data analysis in R

Day 2

  • Data visualisation in R, using ggplot2 package
  • Path analysis
  • Mediation and moderation analysis

Day 3

  • Exploratory Factor Analysis
  • Confirmatory Factor Analysis

Day 4

  • Full SEM
  • Measurement invariance across groups (multiple-group CFA)
Day 5
  • Measurement invariance within-person (longitudinal measurement invariance)
  • Latent growth curve modelling


Monday, 4 December, 2023 - 09:30 to Friday, 8 December, 2023 - 17:30

Upcoming events