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Direct linkLucieer, Susanna M.; Stegers-Jager, Karen M.; Rikers, Remy M. J. P.; Themmen, Axel P. N. – Advances in Health Sciences Education, 2016
Medical schools all over the world select applicants using non-cognitive and cognitive criteria. The predictive value of these different types of selection criteria has however never been investigated within the same curriculum while using a control group. We therefore set up a study that enabled us to compare the academic performance of three…
Descriptors: Medical Schools, Medical Students, Selective Admission, Admission Criteria
Download full textSmith, John E.; And Others
The purpose of this study was to construct and validate a self-rating scale which can be easily administered and quickly scored for discriminating between those high school students who will dropout and those who will not. A 34-item scale was constructed for subjects with a fifth grade reading level. This scale was administered to 113 high school…
Descriptors: Dropout Characteristics, Dropout Research, Dropouts, High School Students
Ritchey, Ferris J.; Lewis, Barbara Lawhon – 1986
A 2-year study of 206 college students at an urban research university in a southern state examined personal, environmental, academic, and non-academic predictors of: (1) course grade performance; and (2) academic retention. Of particular interest were "high-risk" or "disadvantaged" students and how they compensated for their…
Descriptors: Academic Achievement, College Students, Computer Uses in Education, Disadvantaged Youth
