Predicting Student Retention Using Pre-Matriculation Demographic Data AND Non-cognitive Data

 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.