Categorical data analysis using logistic regression

This course gives a practical, non-mathematical introduction to the use of logistic regression in the analysis of categorical outcomes.

Logistic regression is a widely used technique for the analysis of categorical data, offering increased flexibility compard to the traditional analysis of crosstables. A binary outcome can be predicted using one or more categorical variables, continuous variables or combinations thereof.

Each lesson is a combination of theoretical introductions followed by hands-on exercises in the software package SPSS.

For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.