Literature DB >> 17493975

Predicting performance in Canadian dental schools: the new CDA structured interview, a new personality assessment, and the DAT.

Amanda Poole1, Victor M Catano, D P Cunningham.   

Abstract

Using a sample of dental students (N=373) from four Canadian dental schools, this longitudinal study determined whether the new Canadian Dental Association (CDA) structured interview was a predictor of clinical and academic performance. The new interview predicted clinical performance in the third and fourth years of dental school, but not academic performance. The Canadian Dental Aptitude Test (DAT) continued to predict first- and second-year academic performance, but not clinical performance in the senior years. A personality factor, "Conscientiousness," predicted clinical and academic performance to various degrees across the four years of dental school. A second personality factor, "Openness to Experience," predicted third-year academic performance. The results suggest that a combination of scores from the DAT, a valid measure of personality, and a well-designed structured interview will provide the best prediction of those applicants who will do well in both the academic and clinical aspects of dental school.

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Mesh:

Year:  2007        PMID: 17493975

Source DB:  PubMed          Journal:  J Dent Educ        ISSN: 0022-0337            Impact factor:   2.264


  10 in total

1.  Predictive value of the admissions process and the UK Clinical Aptitude Test in a graduate-entry dental school.

Authors:  J I Foley; K Hijazi
Journal:  Br Dent J       Date:  2015-07       Impact factor: 1.626

2.  Early assessment with a virtual reality haptic simulator predicts performance in clinical practice.

Authors:  Loulwa M Al-Saud; Faisal Mushtaq; Richard P Mann; Isra'a Mirghani; Ahmed Balkhoyor; Richard Harris; Cecilie Osnes; Andrew Keeling; Mark A Mon-Williams; Michael Manogue
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-09-03

3.  Past-behavioural versus situational questions in a postgraduate admissions multiple mini-interview: a reliability and acceptability comparison.

Authors:  Hiroshi Yoshimura; Hidetaka Kitazono; Shigeki Fujitani; Junji Machi; Takuya Saiki; Yasuyuki Suzuki; Gominda Ponnamperuma
Journal:  BMC Med Educ       Date:  2015-04-14       Impact factor: 2.463

4.  Getting to the Root of Fine Motor Skill Performance in Dentistry: Brain Activity During Dental Tasks in a Virtual Reality Haptic Simulation.

Authors:  Suzanne Perry; Susan M Bridges; Frank Zhu; W Keung Leung; Michael F Burrow; Jamie Poolton; Rich Sw Masters
Journal:  J Med Internet Res       Date:  2017-12-12       Impact factor: 5.428

5.  Does General and Specific Traits of Personality Predict Students' Academic Performance?

Authors:  Mohamed Jaber; Basim Al-Samarrai; Afraa Salah; Sudhir Rama Varma; Mohmed Isaqali Karobari; Anand Marya
Journal:  Biomed Res Int       Date:  2022-01-04       Impact factor: 3.411

6.  Mitigating Bias in Recruitment: Attracting a Diverse, Dynamic Workforce to Sustain the Future of Radiation Oncology.

Authors:  Meriem Mokhtech; Reshma Jagsi; Raymond Mailhot Vega; Derek W Brown; Daniel W Golden; Titania Juang; Malcolm D Mattes; Chelsea C Pinnix; Suzanne B Evans
Journal:  Adv Radiat Oncol       Date:  2022-06-15

Review 7.  Association of Personality Traits with Life and Work of Medical Students: An Integrative Review.

Authors:  Meichen Liu; Jinquan Cai; Hao Chen; Lei Shi
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

8.  The Hamburg selection procedure for dental students - introduction of the HAM-Nat as subject-specific test for study aptitude.

Authors:  Christian Kothe; Johanna Hissbach; Wolfgang Hampe
Journal:  GMS Z Med Ausbild       Date:  2013-11-15

9.  Prediction of practical performance in preclinical laboratory courses - the return of wire bending for admission of dental students in Hamburg.

Authors:  Christian Kothe; Johanna Hissbach; Wolfgang Hampe
Journal:  GMS Z Med Ausbild       Date:  2014-05-15

10.  Selection into medical school: from tools to domains.

Authors:  Tom M Wilkinson; Tim J Wilkinson
Journal:  BMC Med Educ       Date:  2016-10-03       Impact factor: 2.463

  10 in total

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