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Journal of veterinary medical education. 2024 Nov 29:e20240073. doi: 10.3138/jvme-2024-0073 Q30.62024

Predicting Admission and Future Performance of Veterinary School Applicants: Evaluation of Scores of Self-Reported Animal Experience and Rural Versus Urban Background

预测兽医学校申请者入学率和未来表现:评估自我报告的动物接触经历评分及城乡背景评分的影响 翻译改进

Nicole J Fernandez  1, Matt R Read  2, Robert McCorkell  3, Connor Maxey  4, Kent G Hecker  5

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作者单位

  • 1 Department of Veterinary Pathology, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Dr., Saskatoon, SK S7N 5B4, Canada.
  • 2 Veterinary Anesthesiologist, MedVet Columbus, 300 E. Wilson Bridge Rd., Worthington, OH 43085, USA.
  • 3 Faculty of Veterinary Medicine, University of Calgary, 3280 Hospital Dr., NW, Calgary, AB T2N 4Z6 Canada.
  • 4 Department of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, AB Canada.
  • 5 University of Calgary, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6 Canada.
  • DOI: 10.3138/jvme-2024-0073 PMID: 39612223

    摘要 中英对照阅读

    Admission to veterinary school is generally based on academic and nonacademic measures. Descriptions of animal or veterinary experience and rural versus urban background are often sought from applicants, but little is objectively known about their impact on admission success or future performance. We evaluated scores from written descriptions from 590 veterinary school applicants for the nature and extent of self-reported animal experience. For those admitted to the program, we compared animal experience and rural versus urban background to performance in discipline-based courses, professional skills courses, clinical rotations, and the North American Veterinary Licensing Exam (NAVLE). More than 98% of applicants reported animal experience, with small animal veterinary experience most reported. There was no difference in animal experience or background between successful and unsuccessful applicants, but rural and urban applicants reported different experiences. There was a small correlation between small animal experience and performance in clinical rotations (.21), a small negative correlation between rural background and NAVLE performance (-.23), but otherwise, no significant correlations between animal experience or background and future performance. These findings suggest that scores of self-reported animal experience do not provide predictive information on applicants, or, alternatively, that the nature and extent of animal experience, the methods used to score these experiences, and/or the measures assessed during veterinary school need to be explicitly defined to ensure that we are capturing the appropriate information. More investigation into the scoring and impact of animal experience and background on applicant performance in the DVM program and success in a veterinary career is warranted.

    Keywords: admission criteria; animal experience; diversity; predictive value of preadmission criteria; socio-economic status; veterinary experience; volunteer opportunities; work opportunities.

    Keywords:veterinary school applicants; admission prediction; rural background; urban background

    兽医学院的录取通常基于学术和非学术指标。申请人通常会被要求描述他们的动物或兽医经验以及他们来自农村还是城市背景,但是很少有客观的数据了解这些因素对录取成功率或未来表现的影响。我们评估了590名兽医学院申请人在书面描述中的自我报告动物经验得分。对于那些被录取的申请人,我们将他们的动物经验和城乡背景与他们在学科基础课程、专业技能课程、临床轮转以及北美兽医执照考试(NAVLE)中的成绩进行了比较。超过98%的申请者报告了动物经验,其中以小型动物兽医经验为主报导最多。成功的申请人和不成功的申请人之间在动物经验和背景上没有差异,但城乡申请人的经历有所不同。小型动物经验与临床轮转表现有轻微的相关性(.21),农村背景与NAVLE成绩有轻微的负相关性(-.23),但在其他方面,动物经验或背景与未来表现间无显著相关性。这些发现表明,自我报告的动物经验得分并不能提供有关申请人的预测信息,或者需要明确定义动物经验的本质和范围、评分方法以及兽医学院期间评估的标准,以确保我们捕捉到了合适的信息。有必要进一步调查动物经验和背景对DVM项目中申请人表现的影响及其对未来职业成功的影响。

    关键词:录取标准;动物经验;多样性;入学前标准的预测价值;社会经济地位;兽医经验;志愿服务机会;工作机会。

    关键词:自我报告的动物经历; 农村背景; 城市背景

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    期刊名:Journal of veterinary medical education

    缩写:J VET MED EDUC

    ISSN:0748-321X

    e-ISSN:1943-7218

    IF/分区:0.6/Q3

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    Predicting Admission and Future Performance of Veterinary School Applicants: Evaluation of Scores of Self-Reported Animal Experience and Rural Versus Urban Background