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Sandra Nicholson

Researcher at Queen Mary University of London

Publications -  38
Citations -  1342

Sandra Nicholson is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Predictive validity & Higher education. The author has an hindex of 18, co-authored 38 publications receiving 1093 citations.

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How effective are selection methods in medical education? A systematic review

TL;DR: A systematic review synthesises the extant research evidence on the relative strengths of various selection methods and offers a research agenda and identifies key considerations to inform policy and practice in the next 50 years.
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The UKCAT-12 study: educational attainment, aptitude test performance, demographic and socio-economic contextual factors as predictors of first year outcome in a cross-sectional collaborative study of 12 UK medical schools

TL;DR: UKCAT has predictive validity as a predictor of medical school outcome, particularly in mature applicants to medical school, and the validity of using all the existing measures of educational attainment in full at the time of selection decision-making is confirmed.
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Comparison of A level and UKCAT performance in students applying to UK medical and dental schools in 2006: cohort study

TL;DR: This study of a major subgroup of applicants in the first year of operation suggests that UKCAT has an inherent favourable bias to men and students from a higher socioeconomic class or independent or grammar schools, however, it does provide a reasonable proxy for A levels in the selection process.
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Widening access in selection using situational judgement tests: evidence from the UKCAT.

TL;DR: This study aims to examine diversity‐related benefits of the use of situational judgement tests (SJTs) in the UK Clinical Aptitude Test (UKCAT) in terms of three demographic variables: socio‐economic status; ethnicity; and gender.
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Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection:: Meta-regression of six UK longitudinal studies

TL;DR: Educational attainment has strong CLPVs for undergraduate and postgraduate performance, accounting for perhaps 65% of true variance in first year performance, and justify the use of educational attainment measure in selection, but also raise a key theoretical question concerning the remaining 35% of variance.