Analysis Of College Graduation Rates Using Markov Chains

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Thomas Dane Keener (Creator)
Appalachian State University (ASU )
Web Site:
Holly Hirst

Abstract: In this project, I analyzed graduation rates of a large, comprehensive university in the southeast United States using Markov chains. This analysis was performed by applying Markov chains to different populations at the university including entering freshmen, sophomore transfers, and junior transfers. This was done to determine differences between the groups’ long-term behavior. Entering freshmen and sophomore transfers’ progression were also analyzed within each of the individual colleges at the university. Some prescriptions based on the analysis include: increasing the freshman retention rate and encouraging sophomores to change majors rather than leave the university. Additional post-analysis recommendations and discussion are included, as well as limitations of the analysis.

Additional Information

Keener, T. (2022). Analysis Of College Graduation Rates Using Markov Chains. Unpublished Master’s Thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2022
Operations Research, Markov Chains, Graduation Rate

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