HERNANDEZ RODRIGUEZ, Yunit et al. Predictive capacity of some indicators in the teaching performance of the Medical Physiology subject. []. , 22, 3, pp. 0-0. ISSN 0864-2141.

OBJECTIVE: to estimate the prediction capacity of some indicators regarding the results of final examinations of this subject. METHODS: the admission via, the results of some of subjects in the first semester, and the results of the cut-off on the tenth week of the Medical Physiology subject were used as predictors. All of them were related to the mark obtained in the final examination of 548 students in the courses 2005-2006 and 2006-2007. Simple descriptive statistics were used and a regression model with optimal scaling up was adjusted for recoding. The values estimated for this model were converted into an ordinal scale for prediction. An analysis of the main components for a better understanding of the structure of the associations among variables was carried out. RESULTS: predictors as a whole are capable to explain 54 % of the variability in the final mark of the subject, whereas the regression model with an optimal scaling up with these predictors allows a satisfactory adjustment. The cut-off on the tenth week is the best predictor. CONCLUSIONS: the admission via, the qualifications obtained in the first semester of first year of the medical career, and the cut-off on the tenth week integrated in a prediction model are a satisfactory prediction model of academic performance in the Medical Physiology subject. The cut-off on the tenth week is the best predictor, since it is more specific and closer to the results of the subject. The admission via may be a useful element at the time of identifying students in the prognosis of teaching success-failure.

: Prediction value; medical students; Medical Physiology; school admission criteria.

        · |     · |     · ( pdf )