Nijmegen, Netherlands

Advanced Applied Qualitative Comparative Analysis (QCA)

when 27 June 2022 - 1 July 2022
language English
duration 1 week
credits 2 EC
fee EUR 575

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

Qualitative Comparative Analysis continues to undergo modifications and improvements. This course enables students to produce a publishable QCA, applying the most advanced analytic tools available in the R software environment.

Course leader

Carsten Q. Schneider
Professor of Political Science
Doctoral School of Political Science, Public Policy, and International Relations
Central European University

Target group

-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 already have some ideas on what they want to use the method of QCA for in their own project(s). This can be an article, a dissertation (MA, PhD), a book, or a research project in a team.

Course aim

After this course you are able to:

-Implementing own QCA research based on current best practices and standards
-Performing QCA in R, the most flexible and powerful software environment for this method
-Distinguishing better from worse applications of QCA in published research
-Getting familiar with R programming language

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%)

Register for this course
on course website