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Journal of veterinary medical education2006; 32(4); 517-522; doi: 10.3138/jvme.32.4.517

Pre-matriculation indicators of academic difficulty during veterinary school.

Abstract: The purpose of this study was to assess pre-matriculation academic and demographic data to identify risk factors for academic difficulty and failure to graduate among veterinary students. Admissions data were compiled for 1,098 students admitted to veterinary college between 1989 and 2000 inclusive. Students were classified by (a) academic success, consisting of students who completed veterinary school within four years in the top 90% of the class or (b) academic difficulty, including students dismissed for academic reasons, students who experienced academic delay, and students who graduated with a cumulative GPA in the 10th percentile of their class. Of 1,098 admitted students, 930 (84.7%) completed veterinary school within four years in the top 90% of their class. Among students with academic difficulty, 94 (8.6%) completed veterinary school in four years in the 10th percentile, 44 (4%) experienced academic delay, and 30 (2.7%) were dismissed. Academic difficulty was associated with a low prerequisite GPA, a low GRE score, poor undergraduate institutional selectivity, and older age (> or =35 years). Students who attended three-or-more undergraduate institutions or two-year colleges prior to attending a four year institution were 1.9 times more likely to experience academic difficulty and 3.87 times more likely to fail to graduate than students who attended a four-year institution (major or small) to complete their prerequisites. These study findings may assist with early identification of students at greater risk of experiencing academic difficulty and support the consideration of cognitive selection criteria (GRE and GPA) and undergraduate institutional experience during the admissions process.
Publication Date: 2006-01-20 PubMed ID: 16421838DOI: 10.3138/jvme.32.4.517Google Scholar: Lookup
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  • Journal Article

Summary

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This research explored the relationship between a student’s academic and demographic background and their likelihood of experiencing academic difficulties in veterinary school. The study found that factors such as a low prior GPA, a low GRE score, the selectivity of their previous institution and older age, as well as the number of undergraduate institutions attended, can indicate a greater risk of struggling academically in veterinary school.

Methodology of the Study

  • The study analyzed admissions data from 1,098 students who enrolled in a veterinary college between 1989 and 2000.
  • Researchers categorized the students into two groups: (a) those who had academic success, characterized by completing veterinary school in four years and being in the top 90% of their class, and (b) those who encountered academic difficulty, which included students who were dismissed for academic reasons, delayed their studies, or graduated with a cumulative GPA in the bottom 10% of their class.

Major Findings of the Study

  • Of the 1,098 students, 930 (84.7%) completed their studies successfully within four years.
  • Students who had academic issues constituted 8.6% of the student body, with 4% experiencing academic delays, and 2.7% being dismissed. The remaining students graduating in the bottom 10%.
  • Several risk factors were associated with academic difficulties: poor prerequisite GPAs, low GRE scores, poor selectivity of the undergraduate institution, and older age equivalent to or more than 35 years.
  • Students who had attended three or more different undergraduate institutions or attended a two-year college before enrolling in a four-year institute were almost twice as likely to experience academic difficulties and about four times more likely not to graduate compared to students who fulfilled their prerequisites at a single four-year institution.

Implications of the Research

  • These findings suggest that looking closely at an applicant’s academic experiences before veterinary school can help to identify those who might face academic challenges during the program.
  • This research supports the use of selection criteria such as GRE scores and GPA, as well as a review of the applicant’s undergraduate institutional experiences during the admissions process to predict future academic outcomes.

Cite This Article

APA
Rush BR, Sanderson MW, Elmore RG. (2006). Pre-matriculation indicators of academic difficulty during veterinary school. J Vet Med Educ, 32(4), 517-522. https://doi.org/10.3138/jvme.32.4.517

Publication

ISSN: 0748-321X
NlmUniqueID: 7610519
Country: Canada
Language: English
Volume: 32
Issue: 4
Pages: 517-522

Researcher Affiliations

Rush, Bonnie R
  • Career Development and Professor of Equine Internal Medicine, College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA. brush@vet.k-state.edu
Sanderson, Michael W
    Elmore, Ronnie G

      MeSH Terms

      • Achievement
      • Adult
      • Age Factors
      • Confidence Intervals
      • Education, Veterinary / standards
      • Educational Measurement
      • Female
      • Humans
      • Kansas
      • Male
      • Odds Ratio
      • Risk Assessment
      • School Admission Criteria
      • Student Dropouts
      • Students

      Citations

      This article has been cited 3 times.
      1. Muca E, Molino M, Ghislieri C, Baratta M, Odore R, Bergero D, Valle E. Relationships between psychological characteristics, academic fit and engagement with academic performance in veterinary medical students. BMC Vet Res 2023 Aug 24;19(1):132.
        doi: 10.1186/s12917-023-03695-0pubmed: 37620884google scholar: lookup
      2. Danielson JA, Burzette RG. GRE and Undergraduate GPA as Predictors of Veterinary Medical School Grade Point Average, VEA Scores and NAVLE Scores While Accounting for Range Restriction. Front Vet Sci 2020;7:576354.
        doi: 10.3389/fvets.2020.576354pubmed: 33195578google scholar: lookup
      3. Holladay SD, Gogal RM, Moore PC, Tuckfield RC, Burgess BA, Brown SA. Predictive Value of Veterinary Student Application Data for Class Rank at End of Year 1. Vet Sci 2020 Aug 29;7(3).
        doi: 10.3390/vetsci7030120pubmed: 32872392google scholar: lookup