Collation of data on applicants, offers, acceptances, students and graduates in veterinary science in <scp>Australia</scp> 2001–2013

Smyth, G. B.

doi:10.1111/avj.12396

Cited by 5 publications

(5 citation statements)

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“…The high proportion of female students within the program is consistent with recent studies of veterinary student demographics within Australia 16 and internationally. As reported in previous studies, 3,4 a greater proportion of students in the current study was from regional or rural locations and, for the first time, we report that a substantive proportion (nearly 20%) were low SES, perhaps reflecting the overrepresentation of disadvantage in small towns and geographically isolated communities.…”

Section: Discussionsupporting

confidence: 84%

“…As reported in previous studies, 3,4 a greater proportion of students in the current study was from regional or rural locations and, for the first time, we report that a substantive proportion (nearly 20%) were low SES, perhaps reflecting the overrepresentation of disadvantage in small towns and geographically isolated communities. 16 Students were from a variety of academic backgrounds, with a broad range of results evidenced in ATAR or pre-entry GPA results. Given the duration and rigour of the veterinary program, it was considered important to determine whether factors evident at selection predicted success or difficulty within the program.…”

Section: Discussionmentioning

confidence: 99%

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Student selection to a rural veterinary school. 2: predictors of student performance and attrition

et al. 2019

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Objective To evaluate the extent to which current selection processes at Charles Sturt University, New South Wales, Australia, predict performance within and attrition from the veterinary degree program. Design Retrospective evaluation of application details and student performance data. Methods Database records of 424 students entering the veterinary program were retrieved from university records, including all students graduating (n = 356) or leaving the program without completing (n = 68) between 2005 and 2016. Demographic data were related to results of selection processes and achievement within the degree using univariable and multivariable general linear and logistic regression analyses. Results The grade point average achieved over the 6 years of the degree was influenced by academic achievement prior to entry, gender (females performed ≈ 2% better than males) and interview scores. Preceptor evaluation of final‐year clinical performance was associated with interview scores, gender (males performed ≈ 4% better than females) and residential address at the time of application. Attrition for personal reasons was more common for female students and students who had completed a prior degree, and students who experienced academic or personal attrition had lower written application scores. Factors that have been previously linked to poor academic outcomes, including rural or low socioeconomic background, were not associated with adverse student outcomes. Conclusion Selection processes did not systematically disadvantage students admitted to the degree program. Gender differences in personal attrition and academic and clinical performance warrant further evaluation. Factors in addition to academic aptitude predicted student success.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Student selection to a rural veterinary school. 2: predictors of student performance and attrition

et al. 2019

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“…For the duration of the study, the offer rate (i.e. the percentage of eligible applicants who received offers) was 22.6% (range, 15.8–28.7%), which is slightly lower than the offer rate of 37.8% generalised across all Australian veterinary schools, suggesting that demand is strong for this degree program. The acceptance rate observed in the current study (81%, range, 61–93%) was greater than the national average reported by Smyth in 2016 12 of 64–68%, suggesting that applicants who successfully complete the selection process are invested in the School’s mission or otherwise committed to study at CSU.…”

Section: Discussionmentioning

confidence: 79%

Student selection to a rural veterinary school. 1: applicant demographics and predictors of success within the application process

et al. 2019

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Objective To determine demographic details of applicants to the veterinary degree program at and relate this information to student selection processes.Design Retrospective evaluation of applicant data.Methods Database records of 4042 applicants to the veterinary program (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) were retrieved from university records. Summary statistics were used to determine basic demographic data, which were related to pre-entry academic achievement and results of selection processes using univariable and multivariable analyses.Results for continuous explanatory variables are expressed as median and 95% confidence interval (CI), with comparison by Mann-Whitney test. Results for categorical explanatory variables are expressed as the percentage of students offered entry to course (with 95% CI), with significance determined by χ 2 analysis. Multivariable analysis was performed by logistic regression, with the effect expressed as the odds ratio (OR) and 95% CI for significant variables. The regression model accounted for 66.7% of observed variability.

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“…The horse had indeed bolted. The number of graduates entering the job market increased by 80% between 2001 and 2013, and the number of veterinarians in Australia increased from 160 per year between 1981 and 2001, to 320 per year between 2001 and 2013 …”

Section: Another Centurymentioning

confidence: 99%

Veterinary education: how we got to where we are

Heath¹

2018

Aust Veterinary J

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Collation of data on applicants, offers, acceptances, students and graduates in veterinary science in Australia 2001–2013

Cited by 5 publications

References 18 publications

Student selection to a rural veterinary school. 2: predictors of student performance and attrition

Student selection to a rural veterinary school. 2: predictors of student performance and attrition

Student selection to a rural veterinary school. 1: applicant demographics and predictors of success within the application process

Veterinary education: how we got to where we are

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