Random forest models reveal academic and financial factors outweigh demographics in predicting completion of a year-round veterinary program
Identifying predictors of success as well as at-risk students is essential for providing targeted curricular interventions to increase retention and achieve timely completion of a DVM degree.
Authors
- Sarah E. Hooper (ORCID: https://orcid.org/0000-0003-1150-2500)
- Natalie Ragland (ORCID: https://orcid.org/0000-0002-7959-4803)
- Elpida Artemiou (ORCID: https://orcid.org/0000-0001-7308-2316)
Institutions
- Texas Tech University (US)
- Ross University School of Veterinary Medicine (KN)
- Cooper Medical School of Rowan University (US)
Publication Details
- Journal
- Journal of the American Veterinary Medical Association
- Published
- 2024-11-13
- DOI
- https://doi.org/10.2460/javma.24.08.0501
- Primary Topic
- Veterinary Practice and Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00