K26 Using R for Longitudinal Data AnalysisInfo Location Attendee Categories Contact More Info Event Information
DescriptionThis is an in-person two-day course for quantitative researchers wanting to perform longitudinal data analyses with the programming language R. The course will comprise six sessions delivered as guided walkthroughs. Together these will provide the necessary programming skills for producing full longitudinal analyses reproducibly from beginning to middle and end (exploring raw data, performing analyses, and presenting results in publication-ready tables and figures).
The course will be built around a single real-world analysis to demonstrate the full quantitative research pipeline in R. Attendees will leave with an appreciation of the power of R, including how R can be used to perform many analyses in an efficient way (e.g., performing Outcome-Wide and Specification Curve Analyses or other ‘many-model’ approaches).
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Event Location
Attendee CategoriesPhD Students.
Additional ItemsContactFor all queries in regards to this Course please contact the following :- Liam Wright
PLEASE ONLY CONTACT THE ONLINE STORE DIRECTLY IF YOU ARE EXPERIENCING PROBLEMS WITH YOUR DEBIT/CREDIT CARD PAYMENT, FOR ALL OTHER QUERIES RELATING TO THIS EVENT, INCLUDING CANCELLATIONS THESE SHOULD BE DIRECTED TO THE CONTACT DETAILS ABOVE. More InformationThe six sessions are:
The course is suited to PhD students and above. Attendees are expected to have some knowledge of R (at least the level in this document: https://osf.io/94rpq), as well as knowledge of longitudinal data analysis methods - this course is about implementing methods, rather than teaching the methods [e.g., mixed effects models] themselves).
Any questions about the course content can be directed to the teacher, Liam Wright (liam.wright@ucl.ac.uk) | ||||||||||||||||
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