Predictive Modeling of Retention at Dickinson College: 4 of 4 - Results and Lessons Learned

Retention modeling for higher education can be quite challenging in the best of conditions. However, predicting who will retain and who will not can be even more difficult if your school is relatively small and has a relatively high retention rate. Couple this condition with the very dynamic environment we are currently experiencing in higher education and you have an even more demanding task. In this presentation, Dr. Johnson, Director of Institutional Research at Dickinson College, provides details for the methodology used by Dickinson College to create a first-year retention model using Rapid Insight Analytics software. The results are discussed to some degree, highlighting the fact that sometimes what you don't find in the model can be almost as useful as what you do.

Category:

Education

Tags:

• Data Mining
• Business Intelligence
• BI
• Institutional Reasearch
• IR
• Statistics
• Data Analysis
• Predictive Modeling
• Analytic Modeling
• Analytics
• Rapid Insight
• Veera
• Dickinson College
• Mike Johnson