RSS02.D4 Doing intersectional quantitative research
Intersectionality studies draw attention to the interrelatedness of inequalities or power hierarchies along social dimensions, such as gender, race, class, sexuality, religion, able-bodiedness, and it is often associated with qualitative research. However, as questions about the social meaning and roots of inequalities are at the core of quantitative social and health sciences, intersectionality has much to offer to quantitative research. Still many who are interested in conducting it are struggling with the question: How to do intersectional quantitative research? That is exactly what we will focus on in this one-week crash course.
Building on an emerging consensus, this course makes clear why adding an interaction term to your regression model is neither sufficient, nor necessary for doing intersectionality research. Having that said, we do focus on which statistical tools are suitable for doing intersectional research and how they can be applied.
|26 June 2023 - 30 June 2023|
Early Bird Regular: €895,- (application deadline* April 1st)
|Scholarships and discounts||Find more information here|
*Your application is only completed when the course fee has been paid
|Course leader||Niels Spierings|
|Level of participant||
|Admission requirements||A basic understanding of regression analysing and the skill to conduct regression analysis is needed. The course work can be done in any program you prefer (e.g. SPSS, R, Excel, STATA), particularly if you bring data from you own project (which is recommended). If this is not possible, contact the course coordinator.|
|Mode of Study||On Campus|
|ECTS||2 or 4 Find more information here|