The Role of Multiple Measures in Community College Developmental Mathematics

Abstract

Objective: Developmental education provides postsecondary students requisite skills to take credit-bearing coursework. Yet, racial disparities exist in which students are most likely to be placed into developmental education. The present study investigates how multiple measures of students’ mathematics background ameliorate racial disparities in developmental math outcomes among U.S. community college students. Methods: The High School Longitudinal Study of 2009 was used to identify sample participants ( n = 3,650) who attended a 2-year postsecondary institution (community college) within 3 years of high school graduation. A series of logistic regression models were employed with developmental math outcomes as dependent variables predicted by multiple measures of student’s math background and demographic covariates. Results: Compared to White students, Black and Hispanic students had poorer developmental math outcomes; however, inclusion of multiple measures of high school math experiences reduced racial disparities. Multiple measures significantly reduced developmental math enrollment by 13% for Black students and 15% for Hispanic students, improved developmental math passing rates for Black students by 25% and Hispanic students by 25%, and improved passing rates for the first college-credit bearing math course for Hispanic students by 73%. Conclusion: The present study highlights how multiple measures of students’ math background might be an important lever for more racially-equitable placement processes. For Black and Hispanic students, the most influential high school measures were high school math GPA, highest high school math course, and math motivation. More work is needed to fine-tune how multiple measures can be used to increase access and equitable outcomes for students.