7 April 2020
Time: 9:00 - 11:00am
Speaker: Elisa Passoni
Venue: Graduate Centre 105
This workshop is aimed at people who are (fairly) new to mixed modelling and as such, it doesn’t cover all the nuances of mixed models, but hopefully serves as a starting point when it comes to both the concepts and the code syntax in
- what is mixed modelling?
- fixed and random effects
- creating a model
- testing for model assumptions (and dealing with violation)
- model selection
- model output
- (plotting and interpreting interactions - if there is time)
It's quite charged, so we will not be able to cover neither basic statistics (e.g. variable type, distributions, assumptions etc), neither basic R; however, material will be as such that anybody can follow. Closer to the day a dataset, R script, and some cheatsheets will be circulated.
For more information, please contact events organiser Elvis Coimbra-Gomes (firstname.lastname@example.org).