Logit Models : Modelling Ordered and Unordered Categorical Data
|Starts:||10:00 6 Mar 2013|
|Ends:||12:00 6 Mar 2013|
|What is it:||Seminar|
|Organiser:||School of Arts, Languages and Cultures|
|Who is it for:||Current University students, University staff|
The logit transformation enables the linear OLS model to be generalized to categorical data. This session explains the theory behind the logit transformation and how it is used to model ordered and unordered categorical data through the proportional-odds and multinomial logit models. Detailed explanations are provided on how to interpret model parameters and also how to compute significance using nested models and analysis of deviance tables. Although this session is illustrated with example analyses using R and the Rcmdr software, the material can be applied using any software.
Although detailed statistical or computing knowledge is not necessary to follow this session, some knowledge of regression may prove useful.
Booking form : http://www.methods.manchester.ac.uk/events/2013-03-06/bookings.shtml
Travel and Contact Information
Coupland Building 3