招生和计划成绩变量的路径分析,以预测医生助理国家认证考试成绩:为期6年的研究结果
Leslie N Woltenberg1,2, Michael J Rudolph1,2
1Leslie N. Woltenberg, PhD, MS Ed, is a director of Graduate Studies and Associate Professor, Department of Physician Assistant Studies, College of Health Sciences, University of Kentucky, Lexington, Kentucky.
概括
医生助理 (PA) 计划的绩效指标,特别是PACKRAT-I考试,显著预测了医生助理国家认证考试 (PANCE) 的成功. 这些发现可以帮助PA计划识别有风险的学生,并改善课程评估.
科学领域:
- 医学教育 医学教育
- 健康 专业 教育 卫生 专业 教育
- 医生助理研究 医生助理研究
背景情况:
- 学生在医生助理 (PA) 计划中的成功对于未来的医疗保健服务至关重要.
- 预测医生助理国家认证考试 (PANCE) 的表现对于计划评估和学生支持至关重要.
研究的目的:
- 通过路径分析,检查入学前成绩,课程内成绩和PANCE分数之间的关系.
- 探索这些关系中的人口差异 (性别,本科专业).
主要方法:
- 对322名PA学生 (2015-2022) 的数据进行了回顾性分析.
- 使用了描述性统计,双变量相关性和通过结构方程建模的路径分析.
- 研究了预测因素对PANCE绩效的直接,间接和总影响.
主要成果:
- 帕克拉特-I证明了PANCE总分的最强的预测因素 (β = .45).
- 预先要求的GPA,GRE分数,心脏病学考试,教学/临床GPA和轮换结束考试对PANCE (β < .25) 产生了显著的影响,尽管较小.
- 预防器评估与PANCE分数没有显著的相关性;子组分析显示了教学变量关系中的基于性别的差异.
结论:
- 在PA计划中的绩效指标,特别是PACKRAT-I,与PANCE的成功有关.
- 调查结果支持数据驱动的战略,用于识别有风险的学生和加强课程评估.
- 建议使用更大的多机构样本进行复制,以验证这些预测关系.
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