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What students want

Using a Choice Modelling Approach to Estimate Student Demand

Datos Bibliográficos

ID4545652
AutoresPaula Sheppard (0000-0003-4979-2064, London School of Hygiene & Tropical Medicine, autor de correspondencia), Richard Smith (0000-0001-9634-2918)
Año2016
Volumen38
Número2
Páginas140-149
Fecha de publicación2016-03-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Higher Education Policy and Management (JOURNAL)
Identificadores de la revistaISSN: 1360-080X • E-ISSN: 1469-9508
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1360080x.2016.1150236
OpenAlexW2295740412
IdiomaEN
Citas recibidas3
Referencias citadas11

Higher education institutions operate in an increasingly competitive global market, and require precise knowledge regarding the preferences of potential students. Traditional methods for evaluating what potential students look for in a degree tend to be descriptive, and while informative, do not assess the strength of students' preferences; how important they are relative to each other, and hence where efforts and investments may best be targeted. To do this, more statistically rigorous methods are required. We used a discrete choice experiment to estimate the relative importance of the attributes that inform student choice and also quantify these trade-offs in monetary terms using 'willingness to pay'. Using data from a UK postgraduate institution we illustrate how this method can be applied and can provide an accurate measure of student preferences as well as quantifying the trade-offs students are willing to make. Our results show that staff expertise, and flexibility of the teaching platform, were the attributes that students most highly value when choosing a postgraduate degree

Mathematics education · Computer Science · Economic and Environmental Valuation · Gender, Labor, and Family Dynamics · Healthcare Policy and Management · Psychology

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Obras citantes distintas3
Citas por año0,43
Intervalo de citas2019 - 2024 (6)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 3
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae