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Using UCAS MEM for contextual offers

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posted on 2025-05-12, 11:42 authored by Laura HarveyLaura Harvey, Stephanie Jong, Myles Smith

Contextual admissions schemes are commonly used across the United Kingdom (UK) for admission into higher education (HE) institutions. These schemes consider an applicant's background and circumstances alongside academic achievement to provide a fairer evaluation of progression into university. Several contextual factors have been considered by HE providers and few have been evaluated in the literature. However, the University and Colleges Admissions Service (UCAS) Multiple Equality Measure (MEM), introduced in 2018, is yet to be evaluated in contextual admissions schemes. This study evaluates the use of UCAS MEM data for contextual admissions at one mid-sized UK institution using a difference-in-differences framework and institutional data on applications for academic years 2021/22 and 2022/23. We found that the introduction of contextual offers, using UCAS MEM data, reduced the likelihood that applicants declined their offer. Applicants were more likely to place the offer from the university as their insurance option. This suggests that the contextual offer increased the appeal of the institution as a solid insurance option, with a marginal increase in probability of study at the institution. Caution is needed when implementing a contextual admissions policy based on UCAS MEM. University policies should consider alignment with their Access and Participation Plan (APP) objectives and commitments, and to ensure applicants understand the basis on which they may be offered a contextual offer.

History

School

  • Loughborough Business School

Published in

Higher Education Quarterly

Volume

79

Issue

1

Publisher

Wiley

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited

Acceptance date

2025-01-12

Publication date

2025-01-21

Copyright date

2025

ISSN

0951-5224

eISSN

0263-9769

Language

  • en

Depositor

Dr Laura Harvey. Deposit date: 21 January 2025

Article number

e70012

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