Does the Australian Tertiary Admissions Rank score (ATAR) predict academic performance in a podiatry course?

Authors

  • Stephanie Russell La Trobe University
  • George Murley La Trobe University
  • Matthew Oates La Trobe University
  • Xia Li La Trobe University
  • Anita Raspovic La Trobe University

DOI:

https://doi.org/10.11157/fohpe.v22i1.367

Keywords:

Australian Tertiary Admissions Rank, ATAR score, podiatry, podiatry education, secondary education, university education, tertiary education, school admission criteria, academic success, academic performance

Abstract

Introduction: Universities within Australia use the Australian Tertiary Admission Rank (ATAR) score to guide student selection into degrees. This process assumes that students with higher ATAR scores are more capable of the academic requirements of tertiary study. This study investigated whether ATAR predicted grades in individual subjects within a university podiatry course. To our knowledge, this research is novel within this discipline in Australia.

Methods: The academic records of four intake cohorts into the podiatry program (2009, 2010, 2011 and 2012; total n = 328) were retrospectively analysed. Whether student ATAR scores predicted grades achieved in each subject was examined using multiple linear regression analysis, with secondary schooling type, entry type, gender, socioeconomic status and year of course commencement considered as potential covariates.

Results: Higher ATAR score was predictive of stronger academic performance in 21 of 29 podiatry subjects, although the strength of the relationship varied from weak to moderate across year level of subject and subject type. The strongest associations were in second year bioscience subjects for Microbiology (r = 0.54, 95% CI: 0.32–0.77), Normal and Pathological Movement (r = 0.52, 95% CI: 0.35–0.66) and Human Bioscience B (r = 0.50, 95% CI: 0.32–0.69). Three of the six clinical subjects (Podiatric Practice A, D and E) did not produce statistically significant associations. 

Conclusion: This study identified that ATAR score moderately predicted grades of biosciences subjects, however it did not predict grades in clinical subjects. Provision of academic support targeted at bioscience subjects may be useful to improve the performance of students with lower ATAR scores. 

 

Author Biographies

Stephanie Russell, La Trobe University

Discipline of Podiatry, Department of Rehabilitation, Sport and Nutrition, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia

George Murley, La Trobe University

Discipline of Podiatry, Department of Rehabilitation, Sport and Nutrition, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia

Matthew Oates, La Trobe University

Discipline of Podiatry, Department of Rehabilitation, Sport and Nutrition, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia

Xia Li, La Trobe University

Department of Mathematics and Statistics, School of Engineering and Mathematical Sciences, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia

Anita Raspovic, La Trobe University

Discipline of Podiatry, Department of Rehabilitation, Sport and Nutrition, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia

References

Akinla, O., Hagan, P., & Atiomo, W. (2018). A systematic review of the literature describing the outcomes of near-peer mentoring programs for first year medical students. BMC Medical Education, 18(1), 98. https://doi.org/10.1186/s12909-018-1195-1

Anderton, R. S. (2017). Identifying factors that contribute to academic success in first year allied health and science degrees at an Australian university. Australian Journal of Education, 61(2), 184–199. https://doi.org/10.1177%2F0004944117713321

Anderton, R. S., Evans, T., & Chivers, P. (2016). Predicting academic success of health science students for first year anatomy and physiology. The International Journal of Higher Education, 5(1), 250–260. https://doi.org/10.5430/ijhe.v5n1p250

Brown, S. J., Power, N., Bowmar, A., & Foster, S. (2018). Student engagement in a human anatomy and physiology course: A New Zealand perspective. Advances in Physiology Education, 42(4), 636–643. https://doi.org/10.1152/advan.00035.2018

Department of Education and Training. (2016). VTAC submission to the higher education standards panel [Submission no. 58]. https://www.dese.gov.au/uncategorised/resources/no-58-victorian-tertiary-admissions-centre-vtac

Feingold, C., Cobb, M., Givens, R. H., Arnold, J., Joslin, S., & Keller, J. L. (2008). Student perceptions of team learning in nursing education. Journal of Nursing Education, 47(5), 214–222. https://doi.org/10.3928/01484834-20080501-03

Gordon, C. D., Williams, S. P., Hudson, G. A., & Stewart, J. (2010). Factors associated with academic performance of physical therapy students. West Indian Medical Journal, 59(2), 203–208. https://westindies.scielo.org/pdf/wimj/v59n2/16.pdf

Green, R., Brown, E., & Ward, A. (2009). Secondary school science predictors of academic performance in university bioscience subjects. Anatomical Sciences Education, 2(3), 113–118. https://doi.org/10.1002/ase.82

Harvey, A., & Simpson, A. (2012). Powers of prediction: Can school recommendations forecast university achievement? Widening Participation and Lifelong Learning, 14(3), 157–171. https://doi.org/10.5456/wpll.14.3.157

Hutchinson, L., Mitchell, C., & St John, W. (2011). The transition experience of enrolled nurses to a bachelor of nursing at an Australian university. Contemporary Nurse: A Journal for the Australian Nursing Profession, 38(1–2), 191–200. https://doi.org/10.5172/conu.2011.38.1-2.191

Kusurkar, R. A., Ten Cate, T. J., Vos, C. M., Westers, P., & Croiset, G. (2013). How motivation affects academic performance: A structural equation modelling analysis. Advances in Health Sciences Education, 18(1), 57–69. https://doi.org/10.1007/s10459-012-9354-3

Magennis, T., & Mitchell, J. (1998). University entry scores as a predictor of academic performance in a health information management program. Health Information Management, 28(2), 57–61. https://doi.org/10.1177%2F183335839802800208

Mills, C., Heyworth, J., Rosenwax, L., Carr, S., & Rosenberg, M. (2009). Factors associated with the academic success of first year health science students. Advances in Health Sciences Education, 14(2), 205–217. https://doi.org/10.1007/s10459-008-9103-9

Molnar, D., Jensen, J., & Rolim, L. (2012). Can we predict first-time failure on the podiatric boards using an admission screen? Journal of the American Podiatric Medical Association, 102(6), 485–490. https://doi.org/10.7547/1020485

Mukaka, M. M. (2012). A guide to appropriate use of correlation coefficient in medical research. Malawi Medical Journal, 24(3), 69–71.

https://preview.ncbi.nlm.nih.gov/pmc/articles/PMC3576830/pdf/MMJ2403-0069.pdf

Pallant, J. (2011). SPSS survival manual. Crows Nest, NSW: Allen & Unwin.

Reinke, N. B. (2019). Promoting student engagement and academic achievement in first-year anatomy and physiology courses. Advance in Physiology Education, 43(4), 443–450. https://doi.org/10.1152/advan.00205.2018

Shaw, G. P., Velis, E., & Molnar, D. (2012). Can we predict podiatric medical school grade point average using an admission screen? Journal of the American Podiatric Medical Association, 102(6), 499–504. https://doi.org/10.7547/1020499

Smith, K. M., & Geletta, S. (2010). The role of institutional selectivity in the prediction of podiatric medical school performance. Journal of the American Podiatric Medical Association, 100(6), 479–486. https://doi.org/10.7547/1000479

Stegers-Jager, K. M., Themmen, A. P. N, Cohen-Schotanus, J. C., & Steyerberg, E. W. (2015). Predicting performance: Relative importance of students’ background and past performance. BMC Medical Education, 49(9), 933–945. https://doi.org/10.1111/medu.12779

Victorian Tertiary Admissions Centre (VTAC). (2009). VTAC bulletin: Introducing the Australian Tertiary Admissions Rank. https://www.yumpu.com/en/document/read/47861341/july-2009-vtac

Victorian Tertiary Admissions Centre (VTAC). (2012). Year 12 results and getting your ATAR. http://www.vtac.edu.au/results-offers/y12-atar.html?qh=YToyOntpOjA7czo0OiJhdGFyIjtpOjE7czo1OiJhdGFycyI7fQ%3D%3D

Whyte, D. G., Madigan, V., & Drinkwater, E. J. (2011). Predictors of academic performance of nursing and paramedic students in first year bioscience. Nurse Education Today, 31(8), 849–854. https://doi.org/10.1016/j.nedt.2010.12.021

Wu, H., Li, S., Zheng, J., & Guo, J. (2020). Medical students' motivation and academic performance: The mediating roles of self-efficacy and learning engagement. Medical Education Online, 25(1), Article 1742964. https://doi.org/10.1080/10872981.2020.1742964

Yoho, R. M., Antonopoulos, K., & Vardaxis, V. (2012). Undergraduate GPAs, MCAT scores, and academic performance the first 2 years in podiatric medical school at Des Moines University. Journal of the American Podiatric Medical Association, 102(6), 446–450. https://doi.org/10.7547/1020446

Yoho, R. M., Tallerico, V., & Vardaxis, V. (2012). Relationship between student academic and clinical performance in podiatric medical education at Des Moines University. Journal of the American Podiatric Medical Association, 102(4), 314–318. https://doi.org/10.7547/1020314

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Published

2021-03-31

How to Cite

Russell, S., Murley, G., Oates, M., Li, X., & Raspovic, A. (2021). Does the Australian Tertiary Admissions Rank score (ATAR) predict academic performance in a podiatry course?. Focus on Health Professional Education: A Multi-Professional Journal, 22(1), 68–87. https://doi.org/10.11157/fohpe.v22i1.367

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