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The Psychometrics Centre

Cambridge Judge Business School

Studying at Cambridge

 

SEM in R workshop (3 or 4 days)

When Sep 26, 2017 09:30 AM to
Sep 29, 2017 05:00 PM
Where Cambridge, UK
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Structural Equation Modelling in R

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 ensure to have installed the latest version of R from http://cran.r-project.org/ and RStudio from http://www.rstudio.com/ide/download/ upon arrival. 

Lunch will be provided at a Cambridge college. A punting tour on Riven Cam is also included on Day 3 or 4.

LocationDates and TimePay by Credit CardTutors

Room 400A
Department of Psychology
Downing Site
University of Cambridge
CB2  3EB

MAP

26th to 29th Sept 2017 

9.30 to 17.00

For details of the content
for each day see the
schedule below

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

Click on above links  to
pay by Credit Cards

Dr Luning Sun,
Aiden Loe

Teaching plan:

 

Morning

Afternoon

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)