Applications are invited for a two-day workshop on Categorical Data Analysis for Social Scientists, June 20 and 21, 2016.
The course is aimed at social science researchers (PhD students, academics and others) who have a grounding in quantitative methods and wish to improve their categorical data analysis skills. The course will combine theory and practice, with hands-on sessions using Stata.
The key topics covered will include:
The course will draw on Long and Freese (2014), Regression Models for Categorical Dependent Variables Using Stata, and Agresti (2007), Introduction to Categorical Data Analysis.
Participants should have a good grounding in basic statistics, up to and including a working knowledge of multiple regression. Experience with statistical software (not necessarily Stata) will be an advantage.
Class notes for the course are available in these formats:
Lab notes in online and printable format.
Registration and classes will be held in F1030, Foundation Building, UL.
PC Labs will take place in A0060a, Main Building.