Search PubMed⌕ Search

PubMed · 8246721

Could final year school grades suffice as a predictor for future performance?

Abstract

The performance of three groups of medical students was evaluated at the end of one phase of their studies--after 2 years of premedicine. The aim of the study was to determine whether any of the assessment methods--secondary school grades, entrance examination or test for proficiency in the English language, used for selection of medical students, could reliably predict student performance in the early stages of their education. A significant correlation was found between secondary school grades and the entrance exam on the one hand and grade point average (GPA) on the other. However the results of the test for English proficiency did not correlate with the GPA. It is concluded that the secondary school grade on its own is a good predictor of academic performance in the early stages of medical undergraduate education.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Y M Abdulrazzaq, K I Qayed. 1993. Could final year school grades suffice as a predictor for future performance?. https://doi.org/10.3109/01421599309006718

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Conditional reliability of admissions interview ratings: extreme ratings are the most informative.

CONTEXT: Admissions interviews are unreliable and have poor predictive validity, yet are the sole measures of non-cognitive skills used by most medical school admissions departments. The low reliability may be due in part to variation in conditional reliability across the rating scale. OBJECTIVES: To describe an empirically derived estimate of conditional reliability and use it to improve the predictive validity of interview ratings. METHODS: A set of medical school interview ratings was compared to a Monte Carlo simulated set to estimate conditional reliability controlling for range restriction, response scale bias and other artefacts. This estimate was used as a weighting function to improve the predictive validity of a second set of interview ratings for predicting non-cognitive measures (USMLE Step II residuals from Step I scores). RESULTS: Compared with the simulated set, both observed sets showed more reliability at low and high rating levels than at moderate levels. Raw interview scores did not predict USMLE Step II scores after controlling for Step I performance (additional r2 = 0.001, not significant). Weighting interview ratings by estimated conditional reliability improved predictive validity (additional r2 = 0.121, P < 0.01). CONCLUSIONS: Conditional reliability is important for understanding the psychometric properties of subjective rating scales. Weighting these measures during the admissions process would improve admissions decisions.

Education, Medical, Undergraduate↗