Applied Multilevel Modelling 2017
This course will focus on the application of multilevel models to hierarchically clustered data structures. Topics will include types of multilevel data structures, linear multilevel and logistic multilevel models, random intercept and random slope models, and the use of graphical methods to display results. The course will focus primarily on situations where the dependent variable is continuous, but methods will also be introduced for dealing with binary response data. The course will include a mixture of lectures and practical workshops using the multilevel modelling software MLwiN.
The course will have a practical emphasis with computer workshops allowing participants to work through examples using the MLwiN software.
By the end of the course participants should:
Participants are expected to have a good working knowledge of simple statistical methods, including a good understanding of linear regression. No familiarity with the software MLwiN is required.
13th September 2017 – 15th September 2017
Dr Ian Brunton-Smith
The course will be taught using the software package MLwiN. This is freely available to academics from UK universities and can be downloaded from the Centre for Multilevel Modelling (http://www.bristol.ac.uk/cmm/software/). The software will be available for use for the duration of the course. No prior experience of using the software is required.
There are an increasing number of good introductory multilevel books. Below are a few that participants may find useful before attending the course.
Participants should also check the online material at the Centre for Multilevel Modelling at the University of Bristol (http://www.cmm.bristol.ac.uk/). The site provides a range of introductory training material. Students and academics can also download the MLwiN software from here free of charge.
The fee is:
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Full refund for cancellation three weeks before the course, NO refunds can be made after this date.