What students want: using a choice modelling approach to estimate student demand


Sheppard, P; Smith, R; (2015) What students want: using a choice modelling approach to estimate student demand. Journal of Higher Education Policy and Management, 38 (2). pp. 140-149. ISSN 1360-080X DOI: https://doi.org/10.1080/1360080x.2016.1150236

[img]
Preview
Text - Accepted Version
License:

Download (519kB) | Preview

Abstract

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.

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy
Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Research Centre: Population Studies Group
Web of Science ID: 372129700004
URI: http://researchonline.lshtm.ac.uk/id/eprint/2551687

Statistics


Download activity - last 12 months
Downloads since deposit
5Downloads
55Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item