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Falling at the first hurdle

Undergraduate Students' Readiness to Navigate the Graduate Recruitment Process

Bibliographic Data

ID4097389
AuthorsAlexander Bradley (0000-0003-4304-7653, University of Portsmouth, corresponding author), Freya Beevers-Cowling (University of Nottingham), Chloe Norton (University of Nottingham), Caprice Hill (University of Nottingham), Bethan Pelopida (University of Nottingham), Mark Quigley (0000-0003-4342-1369, Swansea University)
Year2021
Volume46
Issue9
Pages1827-1838
Publication date2021-09-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStudies in Higher Education (JOURNAL)
Journal identifiersISSN: 0307-5079 • E-ISSN: 1470-174X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2019.1709164
OpenAlexW2997860964
LanguageEN
Citations received4
References cited38

Making the transition from university to employment is a challenging process for many students. One common method used by recruiters to sift through graduate applications is the use of psychometric tests which typically consist of numerical and verbal reasoning tasks. To explore how frequently these tests are used by graduate employers, an audit of the Times Top 100 graduate schemes selection processes was conducted. To identify how well-prepared students are to navigate these assessments, an experiment tested whether 169 undergraduate finalist students can pass either a verbal or numerical reasoning test. Two one-sample t-tests show that more than 50% of students failed the verbal and numerical reasoning tests (53.53% vs 83.57%). The only predictor of an increased likelihood of passing the numerical reasoning tests was having previous experience with those tests. This study highlights that more training needs to be given to help students navigate two common selection methods

Audit · Graduate students · Mathematics education · Medical education · Pedagogy · Computer Science · Higher Education and Employability · Human Resource and Talent Management · Medical Education and Admissions · Psychology · Artificial Intelligence

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Unique citing works4
Citations per year1
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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