Structural Equation Modelling in R (online)


25/11/2024 - 29/11/2024

Organised by:

University of Cambridge Psychometrics Centre


Dr Luning Sun and Dr Chia-Wen Chen


Entry (no or almost no prior knowledge)


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

video conference logo

Venue: Online


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. You will learn the following topics in this course:  

  • Introduction to R and data analysis

  • Basic concepts of factor analysis (EFA/CFA/Categorical CFA)

  • Basic and advanced Structural Equation Models (SEM)

  • Application of mediation & moderation techniques

  • Multi-level modelling

  • Latent growth curve modelling

  • Multiple-group analysis and evaluation of continuous and categorical data measurement invariance, as well as longitudinal measurement invariance

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 £595 (Register before 31th August for Early Bird Discount)

Website and registration:


East of England


Frameworks for Research and Research Designs, Cross-Sectional Research, Longitudinal Research , Quantitative Data Handling and Data Analysis, Multilevel Modelling , Longitudinal Data Analysis, Growth curve models, Latent Variable Models, Factor analysis, Confirmatory factor analysis, Structural equation models, ICT and Software, Quantitative Software, R

Related publications and presentations:

Frameworks for Research and Research Designs
Cross-Sectional Research
Longitudinal Research
Quantitative Data Handling and Data Analysis
Multilevel Modelling
Longitudinal Data Analysis
Growth curve models
Latent Variable Models
Factor analysis
Confirmatory factor analysis
Structural equation models
ICT and Software
Quantitative Software

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