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

Raidal, Sharanne; Lord, Jadienne H.; Hayes, Lynne; Hyams, Jennifer; Lievaart, Jan

doi:10.1111/avj.12820

Cited by 6 publications

(13 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 and internationally. As reported in previous studies, 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 over‐representation of disadvantage in small towns and geographically isolated communities . Students were from a variety of academic backgrounds, with a broad range of results evidenced in ATAR or pre‐entry GPA results.…”

Section: Discussionsupporting

confidence: 76%

“…Student selection processes have been documented in our companion paper . Briefly, applications are assessed initially on academic criteria derived from the ATAR for school leavers or the GPA achieved by applicants who have commenced or completed tertiary studies.…”

Section: Methodsmentioning

confidence: 99%

“…Proportions were compared between categories by χ2 test, with 95% confidence interval (CI) determined by the Wilson–Brown method. Multivariable analysis was performed by general linear model for continuous outcome variables or logistic regression for categorical variables with inclusion of all variables with P < 0.1 in the univariable analysis, as previously described . Only variables with P < 0.05 were retained in the final mulitvariable model and interactions between effects were not evaluated.…”

Section: Methodsmentioning

confidence: 99%

“…For this reason, a 5‐mark loading on the Australian Tertiary Admissions Ranking (ATAR) result is allowed for students applying for program entry from rural and regional schools. Our previous study demonstrated that completion of secondary schooling outside of a major city is associated with a 5‐mark difference in median ATAR for applicants to the veterinary program at CSU, providing justification for this regional bonus. Similar to the situation for veterinarians, shortages of other healthcare professionals in locations outside urban areas have been addressed by recruitment of students from rural locations and training of students in rural and remote locations.…”

mentioning

confidence: 94%

“…At CSU, applicants who meet or exceed academic selection criteria are assessed by written application, and the top 40–50% (≈ 160 applicants) are invited to an interview. Written and interview selection criteria at CSU have been described previously and the value of these selection tools reviewed extensively in the tertiary education literature . Importantly, these additional selection procedures are time‐ and resource‐expensive and their inclusion in the selection process should therefore be scrutinised.…”

mentioning

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: 76%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 94%

mentioning

confidence: 99%

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

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Factors affecting the study time of first and final year students of a world class university

Okagbue

Odetunmibi

Ezenkwe

et al. 2021

J. Phys.: Conf. Ser.

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Many activities compete for the time students spent on academic activities, but few works have been done on the factors affecting the study times of first and final year students. Questionnaires were given to 150 first and final year students from four colleges of a world-class university located in Ogun State, Nigeria and the aim is to investigate the factors affecting their study time. Ninety-eight representing 65.3% of the students study between 1 and 4 hours per day. Gender, age, level and college affiliation are not associated with their perceived desired results. In the same vein, it was observed that gender and age are not associated with hours of study. However, there are significant associations between the duo of level and college and study hours. Also, there is no significant association (i) Between the number of hours spent on sleeping and the number of hours spent on studying and (ii). The hours spent on study and the desired result. In conclusion, strategies are needed to be crafted and deployed to increase the hours spent on studying by the first and final year students which are likely to give them their desired results and improve the art of learning. Logistic regression on the desired results was predicted by the 3 moderation variables, namely; the gender and level, age and college, and level and college. Intervention programmes are to be incorporated into the curriculum to motivate students in achieving their desired results. Tutorial classes, investment in learning tools, promotion of discussion groups, counselling are recommended for first and final year students to stimulate their interests in their chosen course of study and to prepare them for successful careers.

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

Cited by 6 publications

References 20 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

Factors affecting the study time of first and final year students of a world class university

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

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