title: Predicting medical specialty choice: a model based on students' records.
abstract: A discriminant analysis of objective and subjective measures from the records of 628 students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. The authors found that National Board of Medical Examiners Part II examination scores, sex, race, grades given by preceptors, and a score derived from narrative comments by preceptors during clinical experiences in psychiatry contained information for predicting such a choice. With this model, the correct prediction rate for all specialties was 41 percent. The correct prediction rate for individual specialties ranged from a low of 28 percent for family practice to a high of 68 percent for psychiatry.
mesh_terms: D002321:Career Choice; D002568:Certification; D003099:College Admission Test; D005260:Female; D006801:Humans; D008297:Male; D008511:Medicine; D008962:Models, Theoretical; D010551:Personality; D012737:Sex Factors; D013038:Specialization; D013337:Students, Medical / Q000523:psychology