Advancing quantitative intersectionality research methods: Intracategorical and intercategorical approaches to shared and differential constructs

Abstract

A range of methods have recently been proposed for incorporating intersectionality theoretical frameworks into quantitative research methodology. We published a pair of articles on methods for intercategorical intersectionality, in which we distinguished analytic from descriptive studies, identified causal mediation decomposition methods as an appropriate strategy for analytic intercategorical intersectionality, and introduced and validated a group of three new measures of major, day-to-day, and anticipated discrimination for use in intercategorical analysis (Bauer and Scheim, 2019; Scheim and Bauer, 2019). We respond to points raised in four invited commentaries on our original pair of articles-by Evans (2019); Jackson and VanderWeele (2019); Harnois and Bastos (2019); and Richman and Zucker (2019). We discuss differential constructs, which represent those that exist only for those at particular intersections, or for which meanings vary across intersections. Whereas such constructs may be studied intracategorically, in intercategorical studies they place limits on both the types of measures that may be used and the statistical analyses that can be conducted. Most quantitative intersectionality methods work has therefore focused on intracategorical measures, but intercategorical analyses. We present a preliminary agenda for continued methods development in quantitative intersectionality methods.

Keywords: Discrimination; Gender; Health equity; Intersectionality; Measurement; Race; Research design methods; Social determinants of health; Statistics.