Training and Events
Applied Multilevel Modelling (few places remaining)
|NCRM, University of Southampton|
Dr Ian Brunton-Smith
13/09/2017 - 15/09/2017
Building 39, University of Southampton, Highfield, Southampton, Hants
View in Google Maps (SO17 1BJ)
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:
The course is aimed at researchers who want to perform multilevel modeling and have to work with clustered data. Participants may be academic researchers in the social and health sciences or may work in government, survey agencies, official statistics or the voluntary or private sector.
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.
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.
Intermediate (some prior knowledge)
The fee per teaching day is:
Website and registration
Multilevel Modelling , Regression Analysis , , , Longitudinal Research , , , Growth Curve Modelling , , , Multilevel Linear Regression , , , Multilevel Logistic Regression
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