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- Author or Editor: Sanjay Sesodia x
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Background:
This study examined the effect of instructional technology availability on the performance of students enrolled in a medical physiology course at a podiatric medical school.
Methods:
Multiple linear regression analysis was used to predict student overall test performance based on instructional technology, Medical College Admission Test score, undergraduate grade point average, and class absence.
Results:
The availability of instructional technology was associated with a small decline in mean test performance and a small increase in class absence. Class absence had a negative effect on test performance only when the technology was available. Total Medical College Admission Test score and grade point average were positively correlated with performance.
Conclusions:
Instructional technology did not enhance absentee student course performance and, indeed, hurt it. Its use as a means of providing access to additional lecture material needs to be reevaluated. (J Am Podiatr Med Assoc 102(6): 471–476, 2012)
Background:
This study examined the predictive ability of educational background and demographic variables, available at the admission stage, to identify applicants who will graduate in 4 years from podiatric medical school.
Methods:
A logistic regression model was used to identify two predictors of 4-year graduation: age at matriculation and total Medical College Admission Test score. The model was cross-validated using a second independent sample from the same population. Cross-validation gives greater confidence that the results could be more generally applied.
Results:
Total Medical College Admission Test score was the strongest predictor of 4-year graduation, with age at matriculation being a statistically significant but weaker predictor.
Conclusions:
Despite the model’s capacity to predict 4-year graduation better than random assignment, a sufficient amount of error in prediction remained, suggesting that important predictors are missing from the model. Furthermore, the high rate of false-positives makes it inappropriate to use age and Medical College Admission Test score as admission screens in an attempt to eliminate attrition by not accepting at-risk students. (J Am Podiatr Med Assoc 102(6): 463–470, 2012)
