Are Regression Models (In)congruent with Intersectionality Theory? Applying Intersectionality Theory to Education Research and Interrogating Limitations

• In Event: Consortium of State and Regional Educational Research Associations Distinguished Paper Session 2

Abstract

Intersectionality theory garners increased attention from researchers interested in understanding the many ways in which oppression impacts lived experiences. This study expanded on existing knowledge about the statistical limitations of three methods of modeling intersectional analyses on a continuous outcome variable. This research explored the utility of three methods of modeling intersectional analyses under different demographic data characteristics when modeling a continuous outcome variable in a clustered context: 1) Interaction, 2) Categorical, and 3) MAIDHA. A Monte Carlo simulation study was designed to study each model under four demographic data conditions: the number of identity categories, the within-group variance of each category, the proportional representation within categories, and the overall sample size.

Author

• Olivia Szendey, WestEd