This session has been cancelled due to the lockdown. Apologies for any inconvenience caused.
Quantitative research methods are often considered incompatible with the need to explore issues of vulnerability, marginalisation and power in all their complexities. At the same time, quantitative data remains central in policy making and advocacy on behalf of marginalised groups. In this reading group session, we will explore these tensions. Researchers using quantitative or mixed methods are warmly invited to join us and share their experience in trying to capture complexity and adopt a critical stance in their work.
David Gillborn, Paul Warmington & Sean Demack (2018) QuantCrit: education, policy, ‘Big Data’ and principles for a critical race theory of statistics, Race Ethnicity and Education, 21:2, 158-179, DOI: 10.1080/13613324.2017.1377417
Loksee Leung, Stephanie Miedema, Xian Warner, Sarah Homan & Emma Fulu (2019) Making feminism count: integrating feminist research principles in large-scale quantitative research on violence against women and girls, Gender & Development, 27:3, 427-447, DOI: 10.1080/13552074.2019.1668142
Open to all. No registration required.
An event organised by Critical Approaches to 'Vulnerability' in Empirical Research (CAVER) Network.
Administrative assistance: firstname.lastname@example.org