Structural Equation Modelling in R
Date:
24/04/2018 - 27/04/2018
Organised by:
University of Cambridge Psychometrics Centre
Presenter:
Dr Luning Sun, Aiden Loe
Level:
Entry (no or almost no prior knowledge)
Contact:
contact@psychometrics.cam.ac.uk
+44(0)1223769483
Map:
View in Google Maps (CB2 1AG)
Venue:
Cambridge Judge Business School,
Trumpington Street, Cambridge
Description:
This course offers an introduction to Structural Equation Modelling (SEM) using R, the popular open-source software for statistical computing and graphics. It 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 be learning 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
You don’t need to know R to follow the course. However, if you are not familiar with R, you will need to attend Day 1, which is an introduction to the R software. 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.
Participants should bring their laptop computers with them, and have installed the latest version of R from https://www.r-project.org/and RStudio from http://www.rstudio.com/ide/download/ before arrival.
Lunch will be provided at a Cambridge college. A punting tour on Riven Cam is also included on Day 3 or 4.
Day 1
- Introduction to R
- Data analysis in R
Data visualisation in R, using ggplot2 package
Day 2
- Path analysis
- Mediation analysis
- Moderation analysis
- Exploratory Factor Analysis
Day 3
- Confirmatory Factor Analysis
- Hierarchical Latent Modelling
- Bi-factor model
- SEM
Day 4
- Test of measurement invariance across groups (multiple-group CFA)
- Test of measurement invariance within-person (longitudinal measurement invariance)
Cost:
4-days (Tues to Fri)
Business: £800 + 20% VAT
Academic: £600 + 20% VAT
Students: £500 + 20% VAT
3 days (Wed to Fri)
Business: £640 + 20% VAT
Academics: £480 + 20% VAT
Students: £400 + 20% VAT
Website and registration:
Region:
East of England
Keywords:
Factor analysis, Confirmatory factor analysis, Structural equation models, R, Psychometrics , Hierarchical Latent Models , Mediation and Moderation , Bi-factor model , Measurement Invariance , Lavaan
Related publications and presentations:
Factor analysis
Confirmatory factor analysis
Structural equation models
R