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Using Data Science And Predictive Analytics To Understand 4-Year University Student Churn, Joshua Lee Whitlock
Using Data Science And Predictive Analytics To Understand 4-Year University Student Churn, Joshua Lee Whitlock
Electronic Theses and Dissertations
The purpose of this study was to discover factors about first-time freshmen that began at one of the six 4-year universities in the former Tennessee Board of Regents (TBR) system, transferred to any other institution after their first year, and graduated with a degree or certificate. These factors would be used with predictive models to identify these students prior to their initial departure. Thirty-four variables about students and the institutions that they attended and graduated from were used to perform principal component analysis to examine the factors involved in their decisions. A subset of 18 variables about these students in …
Relationships Between Institutional Characteristics And Student Retention And Graduation Rates At Sacscoc Level Iii Institutions, Kala Perkins-Holtsclaw
Relationships Between Institutional Characteristics And Student Retention And Graduation Rates At Sacscoc Level Iii Institutions, Kala Perkins-Holtsclaw
Electronic Theses and Dissertations
As the United States struggles to be globally competitive with the number of students completing a college degree higher education leaders continue seeking answers to improving student retention and graduation rates. Decades of research has been conducted on investigating factors that impact student retention and graduation with the majority of that research being centered on student attributes and students’ precollege characteristics. Research has been limited on institutional characteristics and their associations with student retention and graduation rates. Therefore the purpose of this study was to examine the extent that specific institutional characteristics predict first-year, full-time, fall-to-fall retention rates and 6-year …