Pre-admission tests of learning potential as predictors of academic success of first-year medical students

A A Wadee, A Cliff

Abstract


Whilst performance in the school-leaving examination may be a good predictor of academic achievement at medical schools, it is not necessarily a perfect one. The Health Sciences Placement Tests (HSPTs), comprising four components, were adopted by several South African universities as a tool to understand student preparedness. Of 127 first-year students at the University of the Witwatersrand in 2010, those from private schools performed significantly better academically than their public school counterparts on overall HSPT performance and in the Academic Language test, and marginally better in the Mathematics Achievement and Mathematics Comprehension tests. Students from private schools performed better at first-year level in the subjects of Psychology and Fundamentals of Medical and Clinical Sciences. The Academic Language and Mathematics Comprehension tests showed significant correlations with performance in first-year subjects, both at mid-year and year-end assessments. The study points to the importance of the HSPTs as an additional tool in predicting and understanding academic success at first-year university level.

Keywords


higher education readiness; educational background; learning potential tests; academic success

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References


AARP 2004. Report to the Health Sciences Consortium on the use of the Health Sciences Placement Tests in 2004. AARP Research Report IV. Academic Development Programme, University of Cape Town.

Al Alwan, I., M. Al Kush, H. Tamim, M. Magzaub and M. Elzubeir 2013. Health Sciences and Medical College Pre-Admission Criteria and Prediction of In-Course Academic Performance: a Longitudinal Cohort Study. Advances in Health Sciences Education. 18: 427 438.

Basco, W.T., D.P. Way, G.E. Gilbert and A. Hudson 2002. Predicting Step I Success: Undergraduate Institutional MCAT scores as Predictors of USMLE Step I Performance. Academic Medicine. 77 (10) October Supplement: S13 S16.

Basco, W.T., C.J. Lancaster, G.E. Gilbert, M.E. Carey and A.V. Blue 2008. Medical school application interview score has limited predictive validity for performance on a fourth year clinical practice examination. Advances in Health Sciences Education. 13: 151 162.

Bore, M., D. Munro and D. Powis 2009. A Comprehensive Model for the Selection of Medical Students. Medical Teacher. 31: 1066 1072.

Cliff, A. 2014. Entry-level students reading abilities and what these abilities might mean for academic readiness. Language Matters. 45: 313 324.

Cliff, A. 2015. The National Benchmark Test in Academic Literacy: How might it be used to support teaching in higher education? Language Matters. 46: 3 21.

Cliff, A. and M. Hanslo 2009. The Design and Use of 'Alternate' Assessments of Academic Literacy as Selection Mechanisms in Higher Education. Southern African Linguistics and Applied Language Studies. 27 (3): 265 276.

Cliff, A. and E. Montero 2010. The balance between excellence and equity on admission test: contributions of experiences in South Africa and Costa Rica. Ibero-American Journal of Educational Evaluation. 3 (2): 8 28.

Cliff, A. and N. Yeld 2006. Domain I Academic Literacy. In Access and Entry Level Benchmarks: The National Benchmark Tests Project, ed. H.Griesel, 19 27. Pretoria: Higher Education South Africa.

De Clercq, L., S-A. Pearson and I.E. Rolfe 2001. The relationship between previous tertiary education and course performance in first year medical students at Newcastle University, Australia. Education for Health. 14 (3): 417 426.

Edwards, J.C., C.L. Elam and N.E. Wagoner 2001. An Admission Model for Medical Schools. Academic Medicine. 76: 1207 1210.

Elam, C.L. and M.M. Johnson 1992. Prediction of Medical Students Academic Performances: Does the Admission Interview Help? Academic Medicine. 67 (10) October Supplement: S28 S30.

Emery, J.L. and J.F. Bell 2009. The Predictive Validity of the BioMedical Admissions Test for Pre-clinical Examination Performance. Medical Education. 43: 557 564.

Ferguson, E., D. James and L. Madeley 2002. Factors Associated with Success in Medical School: a Systematic Review of the Literature. British Medical Journal. 324: 952 957.

Fleisch, B., V. Scher and A. Cliff 2015. When Signals are Lost in Aggregation: A Comparison of Language Marks and Competencies of Entering University Students. South African Journal of Higher Education. 29 (5): 156 178.

Higgins-Opitz, S.B. and M. Tufts 2014. Performance of first-year health sciences students in a large, diverse, multidisciplinary, first-semester, physiology service module. Advances in Physiology Education. 38: 161 169.

Higgins-Opitz, S.B., M. Tufts, I. Naidoo and S. Essack 2014. Perspectives of student performance in the Health Sciences: How do physiology and professional modules compare? South African Journal of Higher Education. 28 (2): 436 454.

James, D. and C. Chilvers 2001. Academic and Non-Academic Predictors of Success on the Nottingham Undergraduate Medical Course 1970 1995. Medical Education. 35: 1056 1064.

Johnson, M., C. Elam, J. Edwards, D. Taylor, C. Heldberg, R. Hinkley and R. Comeau 1998. Predicting Performance and Satisfaction: Beyond the Crystal Ball. Academic Medicine. 73 (10): S41 S43.

Kay-Lambkin, F., S-A. Pearson and I. Rolfe. The influence of admissions variables on first year medical school performance: a study from Newcastle University, Australia. Medical Education. 36: 154 159.

Lumb, A.B. and A. Vail 2004. Comparison of academic, application form and social factors in predicting early performance on the medical course. Medical Education. 38: 1002 1005.

Mashige, K.P., N. Rampersad and I.S. Venkatas 2014. Do National Senior Certificate results predict first-year optometry students academic performance at university? South African Journal of Higher Education. 28 (2): 550 563.

McManus, I.C., E. Ferguson, R. Wakeford, D. Powis and D. James 2011. Predictive Validity of the Biomedical Admissions Test: An evaluation and case study. Medical Teacher. 33: 53 57.

McManus, I.C. 2002. Medical School Applications A Critical Situation. British Medical Journal. 325: 786 787.

Powis, D. 2010. Improving the Selection of Medical Students. Non-Academic Personal Qualities Should be Taken into Account. British Medical Journal. 340: 432 433.

Ramukumba, T.A. and S. Gravett 2004. Factors affecting academic performance among first year occupational therapy students. South African Journal of Occupational Therapy. 34: 2 6.

Ruscingo, G., G. Pinto Zipp and V. Olson 2010. Admission Variables and Academic Success in the First-year of the Professional Phase in a Doctor of Physical Therapy Program. Journal of Allied Health. 39 (3): 138 142.




DOI: https://doi.org/10.20853/30-2-619

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