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Ceylon Med J ; 2006 Mar; 51(1): 17-21
Article Dans Anglais | IMSEAR | ID: sea-48096

Résumé

OBJECTIVE: To assess the extent to which current selection criteria predict success in Sri Lanka's medical schools. METHODS: The study sample consisted of all students selected to all six medical schools in two consecutive entry cohorts. The aggregate marks of these students at the General Certificate of Education (GCE) Advanced Level examination, the district of entry, admission category, candidate type (school/private) and gender, were identified as entry point variables. Success in medical school was measured in four ways: the ability to pass the first summative examination and the final examination at the first attempt, and obtaining honours in either examination. Multivariate analysis using logistic regression was used to assess the extent to which these entry point factors predict variability in outcome measures. RESULTS: Aggregate scores among the 1740 students in the study sample ranged from 212 to 356, with a median of 285. The male:female ratio was 1.4:1. Private candidates (taking the examination for the third time) accounted for 22% of students. Being a school candidate, female and having a higher aggregate score, were the only independent predictors of success for all four outcome measures. The aggregate score alone accounted for only 1-7% of the variation in performance in medical school. CONCLUSIONS: Marks obtained at the A Level examination (the only academic criterion currently used for selection of medical students in Sri Lanka) is a poor predictor of success in medical school.


Sujets)
Compétence clinique , Test d'admission dans un établissement d'enseignement supérieur de premier cycle/statistiques et données numériques , Enseignement médical premier cycle , Niveau d'instruction , Femelle , Prévision , Humains , Mâle , Odds ratio , Politique organisationnelle , Critères d'admission dans un établissement d'enseignement/statistiques et données numériques , Écoles de médecine/organisation et administration , Sri Lanka , Étudiant médecine/statistiques et données numériques
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