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Study Finds Availability of Class Rank and GPA Is Related to Veterinary Internship and Residency Matching Program
Kendra N Fletcher1, Nidhal Mazza2, Jonathan W Austin3
1Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, 408 Raymond Stotzer Parkway, College Station, TX 77843 USA.
Binary grading systems in veterinary medicine may impact intern and resident selection. Standardized Letter of Reference (SLoR) scores show weak correlation with GPA and class rank, suggesting they may not fully substitute traditional metrics for veterinary residency matching.
Area of Science:
- Veterinary Education
- Medical Education
- Applicant Selection
Background:
- Colleges of veterinary medicine are transitioning to binary grading systems.
- This shift raises questions about its impact on intern and resident selection processes.
- The Veterinary Internship and Residency Matching Program (VIRMP) is a key component of this selection.
Purpose of the Study:
- To evaluate the impact of binary grading on intern and resident selection in veterinary medicine.
- To assess the utility of Standardized Letter of Reference (SLoR) scores as an alternative evaluation method.
- To analyze the relationship between academic metrics (GPA, class rank) and SLoR scores in the VIRMP.
Main Methods:
- Quantitative analysis of de-identified VIRMP data (2020-2024) from 91,080 applications.
- Statistical analyses included ANOVA, Chi-square, Bonferroni, and Tukey tests.
- Data analyzed for both full and limited samples (US citizens/permanent residents).
Main Results:
- GPA and class rank demonstrated weak correlations with SLoR scores.
- Providing GPA and/or class rank was associated with more favorable matching rates and ranks.
- Gender did not moderate the relationship between academic metrics and matching outcomes; race had a limited effect.
Conclusions:
- SLoR scores may not be a valid substitute for GPA and class rank in veterinary residency selection.
- The availability of GPA and class rank influences matching outcomes.
- Further research is needed to understand the practical application of these metrics in selection decisions.
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