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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
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Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
Mar, Harvey H.; Sall, Nancy – 2000
This final report describes the activities and outcomes of a project designed to develop and establish a psychoeducational assessment model to enhance the ability of educators, psychologists, and learning specialists to design and conduct meaningful evaluations of students who are deaf-blind. By focusing on psychoeducational assessment, this…
Descriptors: Data Interpretation, Deaf Blind, Elementary Secondary Education, Evaluation Methods
Brazziel, William F. – 1988
This paper examines the changing demographics of American society and the impact of these changes on higher education. Discussions include a historical background of early American demography, the building and expansion of the population base, and census changes through various generations of the baby boom years and beyond. Next, the report…
Descriptors: Adult Education, Baby Boomers, Birth Rate, Census Figures