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Direct linkAnglim, Jeromy; Bozic, Stefan; Little, Jonathon; Lievens, Filip – Advances in Health Sciences Education, 2018
The current study examined the degree to which applicants applying for medical internships distort their responses to personality tests and assessed whether this response distortion led to reduced predictive validity. The applicant sample (n = 530) completed the NEO Personality Inventory whilst applying for one of 60 positions as first-year…
Descriptors: High Stakes Tests, Personality Measures, Graduate Medical Education, Predictive Validity
Dore, Kelly L.; Reiter, Harold I.; Kreuger, Sharyn; Norman, Geoffrey R. – Advances in Health Sciences Education, 2017
Typically, only a minority of applicants to health professional training are invited to interview. However, pre-interview measures of cognitive skills predict for national licensure scores (Gauer et al. in "Med Educ Online" 21 2016) and subsequently licensure scores predict for performance in practice (Tamblyn et al. in "JAMA"…
Descriptors: Allied Health Occupations Education, Interviews, Cognitive Ability, Predictor Variables
Dore, Kelly L.; Reiter, Harold I.; Kreuger, Sharyn; Norman, Geoffrey R. – Advances in Health Sciences Education, 2017
Typically, only a minority of applicants to health professional training are invited to interview. However, pre-interview measures of cognitive skills predict for national licensure scores (Gauer et al. in "Med Educ Online" 21 2016) and subsequently licensure scores predict for performance in practice (Tamblyn et al. in "JAMA"…
Descriptors: Interviews, Thinking Skills, Certification, Predictor Variables
Shulruf, Boaz; Poole, Phillippa; Wang, Grace Ying; Rudland, Joy; Wilkinson, Tim – Advances in Health Sciences Education, 2012
The choice of tools with which to select medical students is complex and controversial. This study aimed to identify the extent to which scores on each of three admission tools (Admission GPA, UMAT and structured interview) predicted the outcomes of the first major clinical year (Y4) of a 6 year medical programme. Data from three student cohorts…
Descriptors: Medical Students, Medical Schools, Clinical Teaching (Health Professions), Structured Interviews
Trail, Carla; Reiter, Harold I.; Bridge, Michelle; Stefanowska, Patricia; Schmuck, Marylou; Norman, Geoff – Advances in Health Sciences Education, 2008
A consistent finding from many reviews is that undergraduate Grade Point Average (uGPA) is a key predictor of academic success in medical school. Curiously, while uGPA has established predictive validity, little is known about its reliability. For a variety of reasons, medical schools use different weighting schemas to combine years of study.…
Descriptors: Undergraduate Study, Grade Point Average, Predictor Variables, Academic Achievement
