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Starting during the 2018-19 School Year, the School District of Philadelphia (SDP) implemented a new 9th Grade On-Track metric. This study focuses on building a model to identify subsets of 9th Grade On-Track students who may be at risk of failing to graduate on-time, despite satisfying the On-Track requirements. Using Classification and Regression Tree (CART) modelling, we find GPA and Average Daily Attendance are important predictors that distinguish 9th grade On-track students who are most likely to graduate within four years from those who are least likely. We further observe that achievement differences between sub-classifications manifest as early as the 10th grade year, and that sub-classification membership also predicts students’ performance on standardized tests of Literature, Biology and Algebra 1.
Ji Eun Park, School District of Philadelphia
Theodore W. Wills, School Distrcit of Philadelphia
Joy Lesnick, School District of Philadelphia