Relationship Between Dental Students' Pre-Admission Record and Performance on the Comprehensive Basic Science Examination
| Autor: | Laureen A. Zubiaurre, Victor Y. Lee, Sidney B. Eisig, John T. Grbic, Kevin C. Lee |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
020205 medical informatics Science Columbia university Students Dental Predictive capability 02 engineering and technology computer.software_genre Entrance exam 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Educational assessment Academic Performance 0202 electrical engineering electronic engineering information engineering Medicine Humans School Admission Criteria Education Dental Retrospective Studies business.industry Regression analysis Retrospective cohort study 030206 dentistry General Medicine Stepwise regression Surgery Oral United States Family medicine Oral and maxillofacial surgery Schools Dental Educational Measurement business computer |
| Zdroj: | Journal of dental education. 82(4) |
| ISSN: | 1930-7837 |
| Popis: | The Comprehensive Basic Science Examination (CBSE) is the entrance examination for oral and maxillofacial surgery, but its implementation among dental students is a relatively recent and unintended use. The aim of this study was to examine the relationship between pre-admission data and performance on the CBSE for dental students at the Columbia University College of Dental Medicine (CDM). This study followed a retrospective cohort, examining data for the CDM Classes of 2014-19. Data collected were Dental Admission Test (DAT) and CBSE scores and undergraduate GPAs for 49 CDM students who took the CBSE from September 2013 to July 2016. The results showed that the full regression model did not demonstrate significant predictive capability (F[8,40]=1.70, p=0.13). Following stepwise regression, only the DAT Perceptual Ability score remained in the final model (F[1,47]=7.97, p 2 =0.15). This study found that, among these students, pre-admission data were poor predictors of CBSE performance. |
| Databáze: | OpenAIRE |
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