Training and Events
SEM in R: (with MLM) (up to 6 days)
|The Psychometrics Centre, University of Cambridge|
Dr Luning Sun, Dr Igor Menezes, Mr Aiden Loe
24/04/2017 - 29/05/2017
Psychology Department, Downing Street, Cambridge
View in Google Maps (CB2 3EB)
Aiden Loe, firstname.lastname@example.org, 01223769483
This course offers an introduction to Multilevel Modelling (MLM) and Structural Equation Modelling (SEM) using R, the popular open-source software for statistical analysis and graphics. It will present the lmer4 and lavaan packages, rapidly becoming the tools of preference for MLM and SEM in R. Participants will actively work through practical examples to gain first-hand experience in the application of multilevel modelling, 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:
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 participants 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.
Intermediate (some prior knowledge)
All 6 days
Website and registration
East of England
Multilevel Modelling , Factor analysis, Confirmatory factor analysis, Structural equation models, R, Psychometrics
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