Structural Equation Modelling in R (online)
Date:
04/12/2023 - 08/12/2023
Organised by:
University of Cambridge Psychometrics Centre
Presenter:
Dr Aiden Loe, Dr Luning Sun & Dr Joe Watson
Level:
Entry (no or almost no prior knowledge)
Contact:
The Psychometrics Centre, Cambridge Judge Business School
https://www.psychometrics.cam.ac.uk/contact-us
Telephone: +44 (0) 1223 769483
Email: contact@psychometrics.cam.ac.uk
Venue: Online
Description:
3.5 or 5 Day Live Online Course: Structural Equation Modelling in R
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 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 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.
Cost:
Starting from £545
Website and registration:
Region:
East of England
Keywords:
Frameworks for Research and Research Designs, Cross-Sectional Research, Longitudinal Research , Quantitative Data Handling and Data Analysis, 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 from our eprints archive:
Frameworks for Research and Research Designs
Cross-Sectional Research
Longitudinal Research
Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis
Growth curve models
Latent Variable Models
Factor analysis
Confirmatory factor analysis
Structural equation models
ICT and Software
Quantitative Software
R