Nowacek G, Sachs L
Office of Medical Education, University of Virginia School of Medicine, Charlottesville.
Acad Med. 1990 Mar;65(3):140-4. doi: 10.1097/00001888-199003000-00003.
Admission committees report that demographic variables, although accurate, reliable, and easily obtained from applicants to medical schools, are only moderately important in their decision making. This may be because the committees are concerned about the validity and legality of using such data as admissions criteria. This essay discusses the research on the validity of demographic variables and the recommendations for their legal use in selecting students for medical school. The relationships of age, gender, size of hometown, parental education, parental occupation, parental income, and marital status to medical school outcomes of preclinical performances, clinical performance, attrition, specialty choice, and practice location are summarized. [Race or ethnic group is discussed in a separate essay in this issue.] Although the authors focus on the predictive value of demographic variables, these variables play a more important role as the moderator variables for other predictors of medical school outcomes. The full value of using demographic variables derives from data obtained in local validity studies. To comply with the equal-protection and due-process requirements, admission officers must assure that the use of demographic information in the admission process is explicit in bulletins given to applicants and is uniformly applied in the evaluation of all applicants.
招生委员会报告称,人口统计学变量虽然准确、可靠且易于从医学院申请者处获取,但在他们的决策中仅具有中等重要性。这可能是因为委员会担心将此类数据用作录取标准的有效性和合法性。本文讨论了关于人口统计学变量有效性的研究以及在医学院学生选拔中合法使用这些变量的建议。总结了年龄、性别、家乡规模、父母教育程度、父母职业、父母收入和婚姻状况与医学院预科表现、临床实习表现、退学率、专业选择和执业地点等结果之间的关系。[种族或族裔群体在本期的另一篇文章中讨论。]尽管作者关注人口统计学变量的预测价值,但这些变量作为医学院结果其他预测因素的调节变量发挥着更重要的作用。使用人口统计学变量的全部价值来自于在局部有效性研究中获得的数据。为了符合平等保护和正当程序的要求,招生人员必须确保在提供给申请者的公告中明确说明在录取过程中使用人口统计学信息,并在对所有申请者的评估中统一应用。