Using Quantitative Methods to Understand Intersectional Identities: An Empirical Example to Compare Approaches

• In Event: Marriott Roundtable Session Five
  In Roundtable Session: Educational Research Methodology (Table 3)

Abstract

Intersectionality theory garners attention from researchers interested in understanding the complex ways the many forms of oppression interact with educational experiences. Quantitative education researchers have begun to apply statistical methods in which intersectional social positions serve as a proxy for oppression and advantage. Despite methodological advancements, there is a limited conceptional and empirical exploration of the methodological challenges a researcher encounters when conducting quantitative analyses through the lens of intersectionality. This paper provides a practical example of two methods of accounting for intersectional identities using regression models: the categorical and the interaction approach. This paper provides an empirical example to help researchers determine appropriate methods and understand the limitations of those methods for intersectional research questions.

Author

• Olivia Szendey, Boston College
  Presenting Author