One of the most common practices in the social and professional sciences is the under theorization of race in multivariate statistical models. This practice results in findings that are, at best, non-informative, and at worst, complicit in the maintenance of white supremacy. This lecture reviews these specification errors and provides a theoretical perspective for the inclusion of race in multivariate statistical models. It concludes with practical suggestions for research practitioners that include race in their models.
Dr. Ifatunji is an Assistant Professor in the Department of Sociology and a Faculty Fellow at the Carolina Population Center at UNC Chapel Hill. He is also an Instructor at the UM Ann Arbor ICPSR Summer Program, where he teaches a course on Race, Ethnicity and Quantitative Methodologies, and Facilitator of the UNC Race Workshop. His research is focused at the intersection of race, culture, biology and social stratification (http://www.ifatunji.info).