The admissions process in a graduate-entry dental school: can we predict academic performance?

J I Foley, K Hijazi

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

AIM: To assess the association between the admissions performance and subsequent academic achievement within a graduate-entry dental school.

METHODS: The study was conducted at the University of Aberdeen Dental School. UCAS forms for course applicants were reviewed and assigned a pre-admission score (PAS) and a tariff given for the UCAS personal statement (UCAS). Individuals ranked highest were invited to attend multiple mini-interviews (MMI), which were scored. Data was correlated with academic performance reported as the University Common Assessment Scale (0-20). Comparisons were also made between the first degree and subsequent educational achievement.

STATISTICS: Data were analysed by multiple linear regression, Pearson correlation and unstacked ANOVA (IBM SPSS Statistics 19).

RESULTS: Data were obtained for 75 students (F: 50; M: 25). A correlation between performance at MMI and CAS scores was identified (r = 0.180, p = 0.001, df = 538). A correlation was also noted between each student's first degree and the CAS scores (F = 4.08, p = 0.001, df = 9).

CONCLUSIONS: This study suggests that candidate performance at MMI might be a stronger predictor of academic and clinical performance of graduate-entry dental students compared to other pre-interview selection criteria. The first degree for such a programme also appears to be significant.

Original languageEnglish
Pages (from-to)E4
JournalBritish Dental Journal
Issue number2
Publication statusPublished - Jan 2013

Keywords / Materials (for Non-textual outputs)

  • Achievement
  • Adult
  • Clinical Competence
  • Communication
  • Education, Dental, Graduate
  • Educational Measurement
  • Female
  • Forecasting
  • Humans
  • Interviews as Topic
  • Male
  • Motor Skills
  • Patient Care Team
  • School Admission Criteria
  • Schools, Dental
  • Scotland
  • Sex Factors


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