Nijmegen, Netherlands

Doing Intersectional Quantitative Research

when 20 June 2022 - 24 June 2022
language English
duration 1 week
credits 2 EC
fee EUR 575

Intersectionality appeals to many inequality scholars, but how to translate it to quantitative methods? Come discover answers based on the most recent literature and standard statistical techniques.

Course leader

Niels Spierings
Associate Professor in Sociology
Radboud University Nijmegen

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 like to conduct quantitative research and are curious about intersectionality or are struggling with the application of it. Fields in which quantitative research and intersectionality are particularly cross-cutting are sociology, political science, gender studies, educational science, health sciences, (social) medical sciences.

Course aim

After this course you are able to:

- Distinguish and reflect upon the different ‘schools of thought’ regarding intersectional quantitative research.
- Pinpoint which statistical instruments you can use to answer substantive question on the interrelatedness of multiple inequalities quantitatively.
- Apply descriptive and regression-based statistical instruments from an intersectional perspective.
- Strategically think about publishing and applying for intersectional quantitative research.

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