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Health sciences and medical college preadmission criteria and prediction of in-course academic performance: a longitudinal cohort study

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Abstract

High School, Aptitude and Achievement Tests have been utilized since 2002 in Saudi Arabia for the purpose of student selection to health sciences and medical colleges. However, longitudinal studies determining the predictive validity of these so-called cognitive tests for in-course performance is lacking. Our aim was to assess the predictive validity of Saudi health sciences and medical school pre-admission selection tools for in-course performance over a three year period and therefore we conducted a retrospective review of pre-admission (High School Test, Saudi Aptitude and Achievement tests) and in-course academic performance data (Grade Point Average, GPA) for all students enrolled in undergraduate Health Sciences Colleges and College of Medicine, 2007–2010. Correlation and linear regression analyses were performed for the whole cohort. Data are reported on 87 of 1,905 (4.6 %) students who applied to Health Sciences and Medical Colleges. The results indicate that in-course GPA scores in year three were significantly positively correlated with High School (r = 0.65; p < 0.05), Aptitude (r = 0.65; p < 0.05) and Achievement (r = 0.66; p < 0.05) selection test scores. Furthermore, the High School Exam was the best predictor of achievement in year three. Regression analysis revealed that 54 % of the variance in predicting academic performance is explained by the three test scores. Results confirmed our hypothesis that High School, Aptitude and Achievement tests are statistically predictive of academic performance in health sciences and medical colleges. Further longitudinal, national work is nevertheless required to determine the extent to which pre-admissions cognitive and non-cognitive tests, socio-demographic and educational process variables predict undergraduate and postgraduate achievement and performance.

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References

  • Al Rukban, M. O., Munshi, F. M., Abdulghani, H. M., & Al-Hoqail, I. (2010). The ability of pre-admission criteria to predict performance in a Saudi medical school. Saudi Medical Journal, 31(5), 560–564.

    Google Scholar 

  • Al-Alwan, I. A. (2009). Association between scores in High school, aptitude and achievement exams and early performance in health science college. Saudi Journal of Kidney Disease and Transplantation, 20(3), 448–453.

    Google Scholar 

  • Burns, R. B. (1980). Relation of aptitudes to learning at different points in time during instruction. Journal of Educational Psychology, 72(6), 785–795.

    Article  Google Scholar 

  • Callahan, C. A., Hojat, M., Veloski, J., Erdmann, J. B., & Gonnella, J. S. (2010). The predictive validity of three versions of the MCAT in relation to performance in medical school, residency and licensing examinations: a longitudinal study of 36 classes of Jefferson Medical College. Academic Medicine, 85(6), 980–987.

    Article  Google Scholar 

  • Coates, H. (2008). Establishing the criterion validity of the Graduate Medical School Admissions Test (GAMSAT). Medical Education, 42, 999–1006.

    Article  Google Scholar 

  • Donnon, T., Paolucci, E. O., & Violato, C. (2007). The predictive validity of the MCAT for medical school performance and medical board licensing examinations: A meta-analysis of the published research. Academic Medicine, 82, 100–106.

    Article  Google Scholar 

  • Emery, J. L., & Bell, J. F. (2009). The predictive validity of the biomedical admissions test for pre-clinical examination performance. Medical Education, 43(6), 557–564.

    Article  Google Scholar 

  • Evans, P., & Wen, F. K. (2007). Does the medical college admission test predict global academic performance in osteopathic medical school? Journal of American Osteopathic Association, 4(107), 157–162.

    Google Scholar 

  • Ferguson, E., James, D., & Madeley, I. (2002). Factors associated with success in medical school systematic review of the literature. British Medical Journal, 324, 952–957.

    Article  Google Scholar 

  • Groves, M., Gordon, J., & Ryan, G. (2007). Entry tests for graduate medical programmes: Is it time to re-think? Medical Journal of Australia, 186(3), 120–123.

    Google Scholar 

  • James, D., & Chilvers, C. (2001). Academic and non-academic predictors of success on the Nottingham undergraduate medical course 1970–95. Medical Education, 35, 1056–1064.

    Article  Google Scholar 

  • James, D., Yates, J., & Nicholson, S. (2010). Comparison of a level and UKCAT performance in students applying to UK medical and dental schools in 2006: Cohort study. British Medical Journal, 349, c478.

    Article  Google Scholar 

  • Jessee, S. A., O’Neil, P. N., & Dosch, R. O. (2006). Matching student personality types and learning preferences to teaching methodologies. Journal of Dental Education, 70, 644–651.

    Google Scholar 

  • Julian, E. R. (2005). Validity of the medical college admissions test for predicting medical school performance. Academic Medicine, 80, 910–917.

    Article  Google Scholar 

  • Kusurkar, R. A., Ten Cate, T. J., van Asperen, M., & Croiset, G. (2011). Motivation as an independent and dependent variable in medical education: A review of the literature. Medical Teacher, 33(5), 3242–3262.

    Article  Google Scholar 

  • Linn, R. L. (1982). Admissions testing on trial. American Psychologist, 37(3), 279–291.

    Article  Google Scholar 

  • Lynch, B., MacKenzie, R., Dowell, J., Cleland, J., & Prescott, G. (2009). Does the UKCAT predict Year 1 performance in medical school? Medical Education, 43, 1203–1209.

    Article  Google Scholar 

  • McGaghie, W. C. (2002). Assessing readiness to medical education. JAMA, 288, 1085–1090.

    Article  Google Scholar 

  • McManus, I. C., Ferguson, E., Wakeford, R., Powis, D., & James, D. (2011a). Predictive validity of the biomedical admissions test: An evaluation and case study. Medical Teacher, 33(1), 53–57.

    Article  Google Scholar 

  • McManus, I. C., Ferguson, E., Wakeford, R., Powis, D., & James, D. (2011b). Response to comments by Emery and Bell. Medical Teacher, 33(1), 60–61.

    Article  Google Scholar 

  • McManus, I. C., Powis, D. A., Wakeford, R., Ferguson, E., James, D., & Richards, P. (2005). Intellectual aptitude tests and A-levels for selecting UK school-leaver entrants for medical school. British Medical Journal, 2005(331), 555–559.

    Article  Google Scholar 

  • McManus, I. C., Smithers, E., Partridge, P., Keeling, A., & Fleming, P. R. (2003). A-levels and intelligence as predictive of medical careers in UK doctors: 20 year prospective study. British Medical Journal, 327, 139–142.

    Article  Google Scholar 

  • Peskun, C., Detsky, A., & Shandling, M. (2007). Effectiveness of medical school admissions criteria in predicting residency ranking four years later. Medical Education, 41(1), 57–64.

    Article  Google Scholar 

  • Powis, D., Hamilton, J., & McManus, I. C. (2007). Widening access by changing criteria for selecting medical students. Teaching and Teacher Education, 23(8), 1235–1245.

    Article  Google Scholar 

  • Prideaux, D., Roberts, C., Eva, K., Centeno, A., McCrorie, P., McManus, C., et al. (2011). Assessment for selection for the health care professions and specialty training: Consensus statement and recommendations from the Ottawa 2010 conference. Medical Teacher, 33(3), 215–223.

    Article  Google Scholar 

  • Roberts, C., & Prideaux, D. (2010). Selection for medical schools: Re-imaging as an international discourse commentaries. Medical Education, 44, 1054–1056.

    Article  Google Scholar 

  • Schwartz S. (2004). Fair admissions to higher education: Recommendations for good practice. London: Higher Education Steering Group. Retrieved April 18, 2011 from http://www.admissions-review.org.uk/downloads/finalreport.pdf.

  • Sefcik, D. J., Prerost, F. J., & Arbet, S. E. (2009). Personality types and performance on aptitude and achievement tests: Implications for osteopathic medical education. Journal of American Osteopathic Association, 109(6), 296–301.

    Google Scholar 

  • Shulruf, B., Poole, P., Wang, G. Y., Rudland, J., & Wilkinson, T. (2011). How well do selection tools predict performance later in a medical programme? Advances in Health Sciences Education. doi:10.1007/s10459-011-9324-1.

    Google Scholar 

  • Snow, R. E. (1992). Aptitude theory: Yesterday, today and tomorrow. Educational Psychologist, 27(1), 5–32.

    Article  Google Scholar 

  • White, C., Dey, E., & Fantone, J. (2009). Analysis of factors that predict clinical performance in medical school. Advances in Health Sciences Education, 14(4), 455–465.

    Article  Google Scholar 

  • Wright, S. R., & Bradley, P. M. (2010). Has the UK clinical aptitude test improved medical school selection? Medical Education, 44, 1069–1076.

    Article  Google Scholar 

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Authors and Affiliations

  1. Dean College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    I. Al Alwan

  2. Department of Basic Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    M. Al Kushi

  3. Department of Medical Education, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    H. Tamim & M. Magzoub

  4. Department of Medical Education, Faculty of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates

    M. Elzubeir

Authors
  1. I. Al Alwan
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  2. M. Al Kushi
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  3. H. Tamim
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  4. M. Magzoub
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  5. M. Elzubeir
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Correspondence to M. Elzubeir.

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Al Alwan, I., Al Kushi, M., Tamim, H. et al. Health sciences and medical college preadmission criteria and prediction of in-course academic performance: a longitudinal cohort study. Adv in Health Sci Educ 18, 427–438 (2013). https://doi.org/10.1007/s10459-012-9380-1

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  • DOI: https://doi.org/10.1007/s10459-012-9380-1

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