District-Level Achievement Gaps Explain Black and Hispanic Overrepresentation in Special Education

To examine whether special education racial risk ratios reported by U.S. school districts are explained by district-level confounds, particularly, racial achievement gaps, we analyzed merged data ( N = 1,952 districts for Black–White comparisons; N = 2,571 districts for Hispanic–White comparisons) from the U.S. Department of Education’s Office of Civil Rights, Stanford Educational Data Archive, and Common Core data sets. Regression analysis results indicated that Black– and Hispanic–White district risk ratios were strongly related to Black– and Hispanic–White district achievement gaps. These results reconcile findings from district-level data with those from student-level data and support the finding that, when compared to otherwise similar White students by controlling for group differences in achievement, non-White students are on average underrepresented in special education. That is, non-White overrepresentation in special education in most districts is explained by racial achievement gaps in these districts. Residuals from the regressions provide a more accurate way to monitor for outlier districts than the current practice required in federal regulations of using unadjusted risk ratios.

Using an Ever–English Learner Framework to Examine Disproportionality in Special Education

Whereas most existing research has examined the prevalence of current English learners (ELs) in special education, we propose and test the use of the ever-EL framework, which holds the subgroup of EL students stable by following all students who enter school classified as ELs. Drawing on two administrative data sets, discrete-time hazard analyses show that whereas current EL students are overrepresented in special education at the secondary level, students who enter school as ELs are significantly underrepresented in special education overall and within most disability categories. Reclassification patterns, in part, explain these findings: EL students with disabilities are far less likely than those without disabilities to exit EL services, resulting in large proportions of dually identified students at the secondary level. These findings shed new light on EL under- and overrepresentation in special education and offer insights into policies and practices that can decrease EL special education disproportionality.