Archival data from the University's student information system was analyzed using logistic regression to ascertain significant equity predictors of undergraduate retention (Fall to Fall) prior to start date of first-term enrollment. Significant predictors included race/ethnicity of Asian American, Hispanic, and African American, institutional aid, state aid paid, and parent's education.
The goal of the project was to improve the collection and sharing of disaggregated information regarding one-year retention rates for undergraduate students. Disaggregated data for these rates are currently being reviewed by the BEDI council for additional analyses and or collection methods (qualitative) for identified areas related to disparities. Additional analyses with archival data and graduate students are planned for the fall.
Work on this project led to the following plans for scaling and sustaining the work:
Data disaggregation practices have been made standard procedure in the Offices of Institutional Effectiveness and Institutional Research. The BEDI Council has been formalized, including budgetary processes. This work will become a regularly expected output of the IE/IR office that will be shared with the BEDI Council, and other key university leaders.