• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>CBE Life Sciences Education >Beyond the GRE: Using a Composite Score to Predict the Success of Puerto Rican Students in a Biomedical PhD Program
【24h】

Beyond the GRE: Using a Composite Score to Predict the Success of Puerto Rican Students in a Biomedical PhD Program

机译：超越GRE：使用综合得分来预测波多黎各学生在生物医学博士学位课程中的成功

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The use and validity of the Graduate Record Examination General Test (GRE) to predict the success of graduate school applicants is heavily debated, especially for its possible impact on the selection of underrepresented minorities into science, technology, engineering, and math fields. To better identify candidates who would succeed in our program with less reliance on the GRE and grade point average (GPA), we developed and tested a composite score (CS) that incorporates additional measurable predictors of success to evaluate incoming applicants. Uniform numerical values were assigned to GPA, GRE, research experience, advanced course work or degrees, presentations, and publications. We compared the CS of our students with their achievement of program goals and graduate school outcomes. The average CS was significantly higher in those students completing the graduate program versus dropouts (p 0.002) and correlated with success in competing for fellowships and a shorter time to thesis defense. In contrast, these outcomes were not predicted by GPA, science GPA, or GRE. Recent implementation of an impromptu writing assessment during the interview suggests the CS can be improved further. We conclude that the CS provides a broader quantitative measure that better predicts success of students in our program and allows improved evaluation and selection of the most promising candidates.
机译：研究生成绩考试通用测验（GRE）用来预测研究生申请者的成功的使用和有效性受到了激烈的争论，尤其是它可能会对在科学，技术，工程和数学领域中代表性不足的少数族裔的选择产生影响。为了更好地确定那些在GRE和平均绩点（GPA）上较少依赖的人能在我们的计划中取得成功，我们开发并测试了综合评分（CS），其中综合了其他可衡量的成功预测指标来评估即将入学的申请人。统一的数值被分配给GPA，GRE，研究经验，高级课程工作或学位，演讲和出版物。我们将学生的CS与他们实现的计划目标和研究生院的成绩进行了比较。完成研究生课程的学生的平均CS显着高于辍学学生（p <0.002），并且与争取研究金的成功以及较短的论文答辩时间相关。相反，GPA，科学GPA或GRE并未预测这些结果。最近在面试中即兴写作评估的实施表明，可以进一步改善CS。我们得出的结论是，CS提供了更广泛的量化指标，可以更好地预测学生在我们课程中的成功，并可以改进对最有前途候选人的评估和选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号