Using Predictive Modeling to Increase Six-Year Graduation

Abstract

Six-year graduation rates are a critical benchmark for student success and an important metric for university administrators. Conducted at a large, public, 4-year university with a current six-year graduation rate of 62%, this study generated a predictive model that identified ten statistically significant predictors for six-year graduation. These predictors were conceptualized into four actionable takeaways to improve six-year graduation rates. Researchers also used the collected data to complete a survival analysis modeling time-to-graduation. This term-to-term analysis provides meaningful information for understanding variables like major changes and credit hour progression.

Date
Feb 27, 2023 3:15 PM — 4:00 PM
Event
Texas Association for Institutional Research 45th Annual Conference
Location
Spring, TX
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Jorge Martinez
Director, Data Science

Director of Data Science at Houston Independent School District.