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A methodology to understand student choice of higher education institutions

The case of the United Kingdom

Bibliographic Data

ID4545669
AuthorsRuth Mcmanus (0000-0001-8056-0523, Christ Church Business School, Canterbury Christ Church University, Canterbury, UK, corresponding author), Janet Haddock-Fraser (Manchester Metropolitan University), Janet Haddock‐fraser (0000-0002-9137-5064, Manchester Metropolitan University), Peter Rand, Peter Rands (Sustainability Office, Canterbury Christ Church University, Canterbury, UK)
Year2017
Volume39
Issue4
Pages390-405
Publication date2017-07-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Higher Education Policy and Management (JOURNAL)
Journal identifiersISSN: 1360-080X • E-ISSN: 1469-9508
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1360080x.2017.1330806
OpenAlexW2615181247
LanguageEN
Citations received7
References cited16

The need to understand how prospective students decide which Higher Education Institution to attend is becoming of paramount importance as the policy context for Higher Education moves towards market-based systems in many countries. This paper provides a novel methodology by which student preferences between institutions can be assessed, using the UK as a case study. It applies both revealed preference and discrete choice modelling techniques to estimate the priority attributes and potential trade-offs of students choosing between different United Kingdom universities. Whereas the former methodology has the advantage of being based on actual decisions, the latter provides an experimental setting for more nuanced findings to be elicited; the combination of approaches allows for a rich and detailed set of results. This methodology can also be used to ask detailed strategic questions of higher education institutions, and further applied to other international markets

Business · Context (archaeology · Economic growth · Economics · Higher education · Institution · International education · Microeconomics · Political science · Preference · Public relations · Set (abstract data type · Social science · Sociology · Computer Science · Fiscal Policy and Economic Growth · Higher Education Research Studies · School Choice and Performance · Marketing

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Unique citing works7
Citations per year1,17
Citation span2020 - 2024 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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