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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Hickman, Randall C. – Journal of Applied Research in the Community College, 2005
Research that has traditionally supported program accreditation has tended to be primarily descriptive in nature, focusing on outcomes such as the satisfaction of graduates and passing rates on licensure exams. The study reported here illustrates how research employing multivariate methodologies can go beyond such descriptive reporting to address…
Descriptors: Multivariate Analysis, Correlation, Selective Admission, Research Methodology
Phipps, Ron; McDaniel, Cleve – 1988
An ongoing study was initiated to provide a reliable means of defining and measuring factors affecting students' performance as they move from high school to college, including the reasons why some are more able than others to excel and/or persist. The study provides public high schools, colleges, universities and the Missouri Coordinating Board…
Descriptors: Academic Achievement, Academic Persistence, College Freshmen, College Students