Predicting Student Retention Using Pre-Matriculation Demographic Data AND Non-cognitive Data
Concurrent Session 7
Would you like to have a building named after you on your campus? Find out what percent of change in retention you would need at your school to equal a contribution worthy of building naming rights. In this session you will learn how one school, Ashford University, used non-cognitive data from the SmarterMeasure Learning Readiness Indicator to improve their retention predicting algorithm by almost 4% over using just demographic data.