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Download full textCazier, Joseph A.; Jones, Leslie Sargent; McGee, Jennifer; Jacobs, Mark; Paprocki, Daniel; Sledge, Rachel A. – Journal of the National Collegiate Honors Council, 2017
Most enrollment management systems today use historical data to build rough forecasts of what percentage of students will likely accept an offer of enrollment based on historical acceptance rates. While this aggregate forecast method has its uses, we propose that building an enrollment model based on predicting an individual's likelihood of…
Descriptors: Honors Curriculum, Enrollment Management, College Students, Probability
