“…Acknowledging that numbers are not neutral means recognizing how quantitative analyses have reinforced the power and perceptions of whiteness and “typical” development (Zuberi, 2001). In particular, the principle of moving beyond static categories is an important consideration, as identity markers, including dis/ability and race, continue to be imposed and normalized through labeling practices (Cruz & Firestone, 2021; Fish, 2019; Link & Phelan, 2001; Shifrer, 2013). Disproportionality studies have used different mathematical formulas (e.g., risk and relative risk, multivariate regression; see Girvan et al, 2019) to compare outcomes of a given minority group either with White students (e.g., Cruz & Rodl, 2018b) or with all students collectively (e.g., Gregory et al, 2016).…”