推信中的某些短语是否预示着奖学金表现的成功?
Niteesh Sundaram1, K Karisa Walker2, Franklyn P Cladis3
1Department of General Surgery, Crozer Health, Resident Physician Postgraduate Year 2, PA, USA.
Medical teacher
|February 2, 2024
概括
推信中的某些短语预测了同事的表现. 像"给我最好的推"这样的短语表明成功,而"强烈推"和"前5至10%"表明表现不佳.
科学领域:
- 医学教育 医学教育
- 研究生医学教育研究生医学教育
- 申请人的选.
背景情况:
- 推信 (LOR) 是评估医疗学员的关键但不完美的工具.
- 节目主管经常给某些短语赋予积极的分数,但它们对表现的预测有效性尚未被证明.
- 本研究探讨了LOR中的特定短语与研究员未来表现之间的关系.
研究的目的:
- 为了确定推信中的12个特定短语是否预测了研究员的后续表现.
- 分析常见的LOR措辞与实习生成功的客观指标之间的相关性.
- 为研究生医学教育中评估LOR提供最佳实践信息.
主要方法:
- 推信分析了12个预定义的短语的存在.
- 同学表现被评估为主要结果.
- 多变量后勤回归被用来评估LOR短语的预测值,控制诸如阿尔法欧米茄阿尔法 (AOA) 状态和第二步临床知识 (CK) 等因素.
主要成果:
- 短语"最好的居民之一" (OR=4.02),"超出预期" (OR=4.74),和"给我最高的建议" (OR=3.87) 显著预测了积极的同学表现.
- "强烈推" (OR=0.31) 和"前5至10%" (OR=0.05) 与负面的绩效结果有关.
- 评估的其他短语没有显示出与奖学金表现的统计学意义上的相关性.
结论:
- 当前对LOR的解释可能会过分强调某些缺乏预测能力的短语.
- 需要为LOR作家和读者提供培训,以改进语言的使用,避免误解主观陈述.
- 改善LOR评估可以提高研究生医学教育中候选人选择过程的准确性.
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