Regression 2: Logistic Regression and General Linear Models

Social scientists are often confronted with outcome variables that are not linear, such as binary, or ordinal survey items, or event counts. The aim of this course is to make students comfortable with applying GLM regression techniques.

Course leader

Julia Koltai
Senior Lecturer in Public Relations
University of Stirling

Course aim

- Master
- PhD
- Post-doc
- Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who regularly use survey data for the complex modelling of the society.

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)