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Direct linkKleshinski, James; Khuder, Sadik A.; Shapiro, Joseph I.; Gold, Jeffrey P. – Advances in Health Sciences Education, 2009
Purpose: To examine the predictive ability of preadmission variables on United States Medical Licensing Examinations (USMLE) step 1 and step 2 performance, incorporating the use of a neural network model. Method: Preadmission data were collected on matriculants from 1998 to 2004. Linear regression analysis was first used to identify predictors of…
Descriptors: Predictor Variables, College Admission, Medical Schools, Licensing Examinations (Professions)
Peer reviewedOfori, Richard – Nurse Education Today, 2000
A study of 222 nursing students in England found no significant differences in performance in the sciences among those with different educational qualifications. Age was a better predictor of science performance. (SK)
Descriptors: Age, Behavioral Sciences, Biological Sciences, Educational Background
Download full textEmmeluth, Donald S. – 1979
The records of 53 students in an introductory biology class at Fulton-Montgomery Community College were examined to determine the effect of selected variables on success in the course. The independent variables tested were age, sex, vocabulary and comprehensive grade placement levels (GPL) on the Nelson-Denny Reading Test, and whether or not the…
Descriptors: Academic Achievement, Achievement Tests, Age, Biological Sciences
Garcia, Ric A.; McFeeley, James C. – 1978
The aim of this investigation was to determine whether biology majors' and non-biology majors' attitudes toward biology are changed as a result of a single semester of instruction in biology. This study also attempted to determine the direction, degree, and possible correlates of this modification. The Biology Attitude Scale was administered at…
Descriptors: Affective Behavior, Age, Analysis of Covariance, Attitude Change
