What students want
Using a Choice Modelling Approach to Estimate Student Demand
Datos Bibliográficos
| ID | 4545652 |
|---|---|
| Autores | Paula Sheppard (0000-0003-4979-2064, London School of Hygiene & Tropical Medicine, autor de correspondencia), Richard Smith (0000-0001-9634-2918) |
| Año | 2016 |
| Volumen | 38 |
| Número | 2 |
| Páginas | 140-149 |
| Fecha de publicación | 2016-03-03 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Journal of Higher Education Policy and Management (JOURNAL) |
| Identificadores de la revista | ISSN: 1360-080X • E-ISSN: 1469-9508 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1360080x.2016.1150236 |
| OpenAlex | W2295740412 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 11 |
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
| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 0,43 |
| Intervalo de citas | 2019 - 2024 (6) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |