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Aptitude, achievement and competence in medicine: a latent variable path model

机译:医学的才能,成就和能力:潜在的可变路径模型

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摘要

To develop and test a latent variable path model of general achievement, aptitude for medicine and competence in medicine employing data from the Medical College Admission Test (MCAT), pre-medical undergraduate grade point average (UGPA) and demographic characteristics for competence in pre-clinical and measures of competence (United States Licensure Examination {USMLE} Steps 1, 2, and 3). Data were gathered on 839,710 participants from 1991 to 2000 on demographic and school variables, UGPA, MCAT subtest scores and Steps 1, 2, and 3 of the United Stated Licensure Examination (USMLE). However, subsets of the total 839,710 participants included in the database were used for various analyses and the testing of a latent variable path model (LVPA). A number of preliminary descriptive and inferential techniques were used to confirm previous hypotheses and stated relationships amongst the variables of interest to the present study. Through development and testing of a latent variable path model, three latent variables measured by UGPA (general achievement), subscales of the MCAT (aptitude for medicine), and Steps 1, 2, and 3 of the USMLE (competence in medicine) were identified which resulted in a comparative fit index = .932 of the model to a large sample (n = 20,714). In a confirmatory latent variable path model we were able to identify theoretical constructs, aptitude for medicine, general achievement, and competence in medicine and their interrelationships. These are distinct but interrelated latent variables.
机译:利用医学院入学考试(MCAT)的数据,医学预科本科生平均绩点(UGPA)和人口统计学特征(包括预科课程的胜任力),开发和测试一般成绩,医学才能和医学能力的潜在变量路径模型。临床和能力评估(美国执照考试{USMLE}步骤1、2和3)。从1991年至2000年收集了839,710名参与者的数据,包括人口统计学和学校变量,UGPA,MCAT子测验分数以及美国执照考试(USMLE)的步骤1、2和3。但是,数据库中包括的全部839,710名参与者的子集用于各种分析和潜在变量路径模型(LVPA)的测试。许多初步的描述性和推论性技术被用于确认先前的假设并阐明了本研究感兴趣的变量之间的关系。通过开发和测试潜在变量路径模型,确定了通过UGPA(总体成就),MCAT的子量表(医学能力)和USMLE的步骤1、2和3(医学能力)测量的三个潜在变量。得出的模型与大型样本的比较拟合指数= .932(n = 20,714)。在一个验证性的潜在变量路径模型中,我们能够确定理论构造,医学才能,一般成就,医学能力及其相互关系。这些是不同但相互关联的潜在变量。

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