Confronting Structural Racism in Quantitative Research
*Names in bold indicate Presenter
Policy researchers are generally aware that variables describing an individuals’ race/ethnicity and/or an organizations’ racial/ethnic makeup are important enough to be included in regression models, but are often not well positioned to develop and test hypotheses for how and why racial disparities emerge and/or persist or appropriately contextualize findings within a much broader history of racial inequality. The data generating process and how variables are parameterized also has important implications for studying structural racism using quantitative methods. Panelists in this session will offer a variety of lessons learned and strategies for appropriately addressing the structures and systems of racism in the content and communication of quantitative policy research. Audience members will be invited to pose questions to the panelists and offer their own strategies for using quantitative methods to study racial inequality.
Moderators: Rachel Perera, Pardee RAND Graduate School and Lam Pham, Vanderbilt University
See more of: Student Resources