Abstract
Materials and methods: The following datasets were used in the analysis: i) SJT data of admitted and non-admitted applicants to the UQ BVSc program, ii) academic performance data of admitted and non-admitted applicants used in the selection process of applicants for the UQ BVSc program, and iii) field work and academic performance data of admitted BVSc students. All datasets were
merged into a single dataset. Descriptive statistics of SJT scores of admitted and non-admitted applicants were produced and compared for age, sex, socio-economic status and living location. Correlations between SJT scores and academic admission criteria were calculated. Using logistic regression models, we estimated predicted probabilities of performance of BVSc students during
field work based on SJT scores.
Results: Female and older students performed better in the SJT compared to male and younger students. As expected, the correlation between SJT scores and academic performance was poor. For higher SJT scores, the predicted probability of performing better during field works was slightly higher (although not significant at p<0.5). A rubric is recommended for future admission to the UQ
BVSc program with weights allocated for academic and non-academic performance and ranges of SJT and academic performance parameters to be used (rather than single cut-offs).
Conclusion: We conclude that applicants with excellent SJT scores, but marginally lower academic ranks should not be excluded from the BVSc program.
merged into a single dataset. Descriptive statistics of SJT scores of admitted and non-admitted applicants were produced and compared for age, sex, socio-economic status and living location. Correlations between SJT scores and academic admission criteria were calculated. Using logistic regression models, we estimated predicted probabilities of performance of BVSc students during
field work based on SJT scores.
Results: Female and older students performed better in the SJT compared to male and younger students. As expected, the correlation between SJT scores and academic performance was poor. For higher SJT scores, the predicted probability of performing better during field works was slightly higher (although not significant at p<0.5). A rubric is recommended for future admission to the UQ
BVSc program with weights allocated for academic and non-academic performance and ranges of SJT and academic performance parameters to be used (rather than single cut-offs).
Conclusion: We conclude that applicants with excellent SJT scores, but marginally lower academic ranks should not be excluded from the BVSc program.
| Original language | English |
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| Pages | 97 |
| Number of pages | 1 |
| Publication status | Published - 07 Aug 2022 |
| Event | 16th International Symposium of Veterinary Epidemiology and Economics 2022: ISVEE 16 - The Halifax Convention Centre, Halifax, Canada Duration: 07 Aug 2022 → 12 Aug 2022 https://venuewest.eventsair.com/isvee2022/ https://venuewest-my.sharepoint.com/personal/congress_venuewest_com/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fcongress%5Fvenuewest%5Fcom%2FDocuments%2FPublic%2FISVEE%202022%2FISVEE%2D2022%2DProceedings%2Epdf&parent=%2Fpersonal%2Fcongress%5Fvenuewest%5Fcom%2FDocuments%2FPublic%2FISVEE%202022&ga=1 (Proceedings) https://www.sciquest.org.nz/browse/publications/view/109 (Proceedings page) |
Conference
| Conference | 16th International Symposium of Veterinary Epidemiology and Economics 2022 |
|---|---|
| Abbreviated title | Connecting animals, people, and their shared environments |
| Country/Territory | Canada |
| City | Halifax |
| Period | 07/08/22 → 12/08/22 |
| Other | ISVEE is a global forum for those interested in veterinary epidemiology and economics, and related disciplines in the health and social sciences, that provides an opportunity for scientists, health policymakers and other professionals, to exchange information and discuss solutions to help advance health for people, animals, and ecosystems. The 2022 edition will provide insights into various approaches to addressing animal disease spread, including the One Health perspective as well as different modelling approaches to support the control of transboundary diseases such as peste des petits ruminants (PPR) and foot and mouth disease (FMD). |
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