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首页> 外文期刊>JAOA: The Journal of the American Osteopathic Association >Prediction of Osteopathic Medical School Performance on the Basis of MCAT Score, GPA, Sex, Undergraduate Major, and Undergraduate Institution
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Prediction of Osteopathic Medical School Performance on the Basis of MCAT Score, GPA, Sex, Undergraduate Major, and Undergraduate Institution

机译：基于MCAT分数，GPA，性别，本科专业和本科院校的整骨医学学校成绩预测

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Context: The relationships of students' preadmission academic variables, sex, undergraduate major, and undergraduate institution to academic performance in medical school have not been thoroughly examined. Objectives: To determine the ability of students' preadmission academic variables to predict osteopathic medical school performance and whether students' sex, undergraduate major, or undergraduate institution influence osteopathic medical school performance. Methods: The study followed students who graduated from New York College of Osteopathic Medicine of New York Institute of Technology in Old Westbury between 2003 and 2006. Student preadmission data were Medical College Admission Test (MCAT) scores, undergraduate grade point averages (GPAs), sex, undergraduate major, and undergraduate institutional selectivity. Medical school performance variables were GPAs, clinical performance (ie, clinical subject examinations and clerkship evaluations), and scores on the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Clinical Evaluation (CE). Data were analyzed with Pearson product moment correlation coefficients and multivariate linear regression analyses. Differences between student groups were compared with the independent-samples, 2-tailed t test. Results: A total of 737 students were included. All preadmission academic variables, except nonscience undergraduate GPA, were statistically significant predictors of performance on COMLEX-USA Level 1, and all preadmission academic variables were statistically significant predictors of performance on COMLEX-USA Level 2-CE. The MCAT score for biological sciences had the highest correlation among all variables with COMLEX-USA Level 1 performance (Pearson r=0.304; P.001) and Level 2-CE performance (Pearson r=0.272; P.001). All preadmission variables were moderately correlated with the mean clinical subject examination scores. The mean clerkship evaluation score was moderately correlated with mean clinical examination results (Pearson r=0.267; P.001) and COMLEX-USA Level 2-CE performance (Pearson r=0.301; P.001). Clinical subject examination scores were highly correlated with COMLEX-USA Level 2-CE scores (Pearson r=0.817; P.001). No statistically significant difference in medical school performance was found between students with science and nonscience undergraduate majors, nor was undergraduate institutional selectivity a factor influencing performance. Conclusion: Students' preadmission academic variables were predictive of osteopathic medical school performance, including GPAs, clinical performance, and COMLEX-USA Level 1 and Level 2-CE results. Clinical performance was predictive of COMLEX-USA Level 2-CE performance.
机译：背景：学生入学前的学术变量，性别，本科专业和大学机构与医学院的学业成绩之间的关系尚未得到彻底检验。目的：确定学生的入学前学术变量预测骨病医学院成绩的能力，以及学生的性别，本科专业或大学机构是否影响骨病医学院的成绩。方法：该研究追踪了2003年至2006年从纽约科技大学旧韦斯特伯里分校的纽约整骨医学学院毕业的学生。学生的入学前数据包括医学院入学考试（MCAT）得分，本科平均分（GPAs），性别，大学专业和大学制度选择。医学院的表现变量是GPA，临床表现（即临床主题检查和业务评估），以及美国综合整骨医学许可考试（COMLEX-USA）1级和2级临床评估（CE）的得分。使用Pearson乘积矩相关系数和多元线性回归分析对数据进行分析。将学生组之间的差异与独立样本的2尾t检验进行比较。结果：总共737名学生被包括在内。除非科学本科GPA以外，所有入学前学术变量均是COMLEX-USA Level 1的统计学显着预测指标，而所有入学前学术变量均是COMLEX-USA Level 2-CE的统计学显着预测指标。在所有变量中，生物科学的MCAT得分与COMLEX-USA 1级表现（Pearson r = 0.304; P <.001）和2级CE表现（Pearson r = 0.272; P <.001）之间的相关性最高。所有入院前变量均与临床受试者平均考试成绩相关。平均业务评估得分与平均临床检查结果（Pearson r = 0.267; P <.001）和COMLEX-USA Level 2-CE绩效（Pearson r = 0.301; P <.001）有中等程度的相关性。临床受试者考试分数与COMLEX-USA 2-CE分数高度相关（Pearson r = 0.817; P <.001）。拥有理科和非理科本科专业的学生之间，医学院的表现没有统计学上的显着差异，本科院校的选择性也不是影响成绩的因素。结论：学生的入学前学术变量可以预测骨病性医学院的表现，包括GPA，临床表现以及COMLEX-USA的1级和2级CE成绩。临床表现预示着COMLEX-USA Level 2-CE表现。

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