Vienna, Austria

Interpreting Binary Logistic Regression Models

when 17 February 2013 - 22 February 2013
duration 1 week
credits 2 EC

This course will provide participants with the detailed understanding and advanced skills needed to interpret the results of logistic regression models with binary outcome variables.
Logistic regression models are very common in the social sciences, but their interpretation is different than for OLS regression models. To this end, this course will help participants to interpret the results of binary logistic regression models using log odds, odds ratios and above all predicted probabilities. A particular focus of this course will be how to present results in tables and graphs. This will help participants make the most out of their results, both for academic papers and for making their research accessible to lay readers. Where possible, reference will also be made to related statistical models that use multinomial and ordinal outcome variables.
The software package Stata will be used as this provides a user-friendly way of interpreting logistic regression results, particularly due to the useful add-ons SPost and Clarify.

Course leader

Markus Wagner
University of Vienna

Target group

Advanced students and junior researchers in political science and adjacent disciplines

Course aim

as above

Credits info

2 EC
Participants have the opportunity to gain 2 ECTS credits from the University of Vienna for attending an Introductory or Advanced Courses (15 hours). Participants must successfully complete their course, and successfully complete their project assignment in order to obtain 2 ECTS credits – Transcripts will be sent to the participants by The University of Vienna.

For all courses being attended (Introductory, Advanced and/or Software Training Courses), participants also receive a certificate of attendance.

Certificates of accreditation (if applicable) as well as certificates of attendance are sent to the participants after the Winter School has ended, by the University of Vienna

Fee info

EUR 0: ECPR Member – €495
Non-ECPR Member – €690
ECPR Member who has attended the ECPR SSMT 2012* – €445
Non-ECPR Member who has attended the ECPR SSMT 2012* – €640
*There is a €50 loyalty discount deducted from all Introductory and Advanced Courses to participants who attended the 2012
Summer School in Methods and Techniques (SSMT) in Ljubljana (this discount does not apply to Software Training Courses).


Self funded students from ECPR member institutions will be able to apply for funding in the form of scholarship funds and travel and accommodation grants. Please use the following link for further information: