ERIC Number: EJ1158499
Record Type: Journal
Publication Date: 2017-May
Abstractor: As Provided
CASPer, an Online Pre-Interview Screen for Personal/Professional Characteristics: Prediction of National Licensure Scores
Dore, Kelly L.; Reiter, Harold I.; Kreuger, Sharyn; Norman, Geoffrey R.
Advances in Health Sciences Education, v22 n2 p327-336 May 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" 288(23): 3019-3026, 2002; Tamblyn et al. in "JAMA" 298(9):993-1001, 2007). Assessment of personal and professional characteristics, with the same psychometric rigour of measures of cognitive abilities, are needed upstream in the selection to health profession training programs. To fill that need, Computer-based Assessment for Sampling Personal characteristics (CASPer)--an on-line, video-based screening test--was created. In this paper, we examine the correlation between CASPer and Canadian national licensure examination outcomes in 109 doctors who took CASPer at the time of selection to medical school. Specifically, CASPer scores were correlated against performance on cognitive and "non-cognitive" subsections of both the Medical Council of Canada Qualifying Examination (MCCQE) Parts I (end of medical school) and Part II (18 months into specialty training). Unlike most national licensure exams, MCCQE has specific subcomponents examining personal/professional qualities, providing a unique opportunity for comparison. The results demonstrated moderate predictive validity of CASPer to national licensure outcomes of personal/professional characteristics three to six years after admission to medical school. These types of disattenuated correlations (r = 0.3-0.5) are not otherwise predicted by traditional screening measures. These data support the ability of a computer-based strategy to screen applicants in a feasible, reliable test, which has now demonstrated predictive validity, lending evidence of its validation for medical school applicant selection.
Descriptors: Interviews, Thinking Skills, Certification, Predictor Variables, Scores, National Standards, Individual Characteristics, Employment Qualifications, Computer Assisted Testing, Video Technology, Screening Tests, Correlation, Physicians, Foreign Countries, Test Validity, Test Reliability, Predictive Validity, College Applicants, Medical Schools, Licensing Examinations (Professions)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Authoring Institution: N/A
Identifiers - Location: Canada
Grant or Contract Numbers: N/A