SEM in R workshop (3 or 4 days)

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 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.

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:

http://www.psychometrics.cam.ac.uk/trainingworkshops/structural-equation-modelling-in-r-4-day-course

Region:

East of England

Keywords:

Multilevel Modelling , Longitudinal Data Analysis, Latent Variable Models, Quantitative Software, R, laaven, SEM, Structural Equation Modelling

Related publications and presentations:

Multilevel Modelling
Longitudinal Data Analysis
Latent Variable Models
Quantitative Software
R

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