Exploring the Hypothesis of Intersectional Effects in College Readiness: An Application of the Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)

• In Event: Using National Databases to Inform on Intersectionality, Education Policy, and Health Crisis

Abstract

Intersectionality is a theoretical and analytic framework based on the tenant that complex interactions between social or demographic characteristics may impact perspectives, experiences, and outcomes. Recent educational and social science research has increasingly focused on understanding the role of intersectional effects experiences and outcomes. Much of this work uses qualitative methods, but there has been a call to develop and implement new quantitative approaches for modeling and testing intersectional effects. This study applies a newer quantitative approach for testing intersectional effects known as Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Using data from the High School Longitudinal Study, we explore the hypothesis of intersectional effects in college readiness, demonstrate the application of the method, and recommending future extensions.

Author

• Gregory J. Palardy, University of California - Riverside