How to QuantCrit (w/guest Wendy CASTILLO)
Africa/EU – Thursday 21 Sept, 2023 15:00 (CET)
Asia/Pacific – Friday 22 Sept, 2023 8:00 (AEST)
When we think about research in Critical Race Theory (CRT), we often think about qualitative methods. However, researchers in education are working to change that. QuantCrit’ (Quantitative Critical Race Theory) is an approach to educational research that applies the insights of Critical Race Theory (CRT) to statistical data. By recognising that misrepresentations of quantitative data are at the heart of an institutional process through which race and racism are produced, legitimized and perpetuated in education, researchers in QuantCrit aim to make such issues more visible and to guide more critical discussion and analysis of such data. In this session, we will be joined by guest Dr. Wendy Castillo (Princeton) to discuss these developments. We invite attendees to think about what lessons can be learned by critical accounting researchers, and in particular, how we might engage with statistical data to surface new avenues of critical discussion and analysis.
Castillo, Wendy, and David Gillborn. (2022). How to “QuantCrit:” Practices and Questions for Education Data Researchers and Users. (EdWorkingPaper: 22-546).
Gerido, L. H. (2020). Racial disparities in breast cancer and genomic uncertainty: A QuantCrit mini-review. Open Information Science, 4(1), 39-57.
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
Twyford, E. J., Tanima, F. A., & George, S. (2022). Critical race theory, counter-accounting, and the emancipatory potential of counter-stories. Accounting, Auditing & Accountability Journal, 35(9), 330-358.
Lewis, A. M. (2015). Counting black and white beans: Why we need a critical race theory of accounting. European Journal of Contemporary Economics and Management, 2(2), 1-13.