A model for predicting performance on the NBME Part I examination. 1986

M Donnelly, and K Yindra, and S Y Long, and P Rosenfeld, and D Fleisher, and Y C Chao

Multiple regression analyses were employed to determine the relationships between achievement variables as predictors of the performance on Part I of the National Board of Medical Examiners examinations (NBME-I) of 366 medical students. The students' examination score averages in first- and second-year basic science courses were sequentially added to a composite Medical College Admission Test (MCAT) score to investigate the increases in prediction accuracy. Four prediction equations were cross validated on two subsequent medical school classes. While the multiple correlation between the predicted NBME-I score and the actual score significantly increased as first- and second-year course examination scores were added to the equations, the overall accuracy in predicting passing or failing did not substantially increase. The most useful equation employed a combination of the MCAT score and the first semester anatomy course examination score. The NBME-I predictions were given by letter to the 1984 and 1985 students approximately a year before they were to take the NBME-I examination so that students at risk of failure could undertake remedial study.

UI MeSH Term Description Entries
D008962 Models, Theoretical Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment. Experimental Model,Experimental Models,Mathematical Model,Model, Experimental,Models (Theoretical),Models, Experimental,Models, Theoretic,Theoretical Study,Mathematical Models,Model (Theoretical),Model, Mathematical,Model, Theoretical,Models, Mathematical,Studies, Theoretical,Study, Theoretical,Theoretical Model,Theoretical Models,Theoretical Studies
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003099 College Admission Test Test designed to identify students suitable for admission into a graduate or undergraduate curriculum. Admission Test, College,Admission Tests, College,College Admission Tests,Test, College Admission,Tests, College Admission
D004501 Education, Medical Use for general articles concerning medical education. Medical Education
D004521 Educational Measurement The assessing of academic or educational achievement. It includes all aspects of testing and test construction. Assessment, Educational,Graduate Records Examination,Educational Assessment,Examination, Graduate Records,Measurement, Educational,Assessments, Educational,Educational Assessments,Educational Measurements,Examinations, Graduate Records,Graduate Records Examinations,Measurements, Educational
D012577 Schools, Medical Educational institutions for individuals specializing in the field of medicine. Medical Schools,Medical School,School, Medical
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D014922 Wisconsin State bounded on the north by Lake Superior and Michigan, on the east by Lake Michigan, on the south by Illinois and Iowa, and on the west by Minnesota and Iowa.

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