Social Sciences
Regression 2: Logistic Regression and General Linear Models
When:
27 June - 01 July 2022
School:
Institution:
Radboud University
City:
Country:
Language:
English
Credits:
2 EC
Fee:
575 EUR
About
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.
Fee info
Fee
575 EUR, The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
Interested?
When:
27 June - 01 July 2022
School:
Institution:
Radboud University
Language:
English
Credits:
2 EC