Field of study choice: using conjoint analysis and clustering
International Journal of Educational Management
ISSN: 0951-354X
Article publication date: 13 March 2017
Abstract
Purpose
The purpose of this paper is to measure student’s preferences regarding various attributes that affect their decision process while choosing a higher education area of study.
Design/methodology/approach
The paper exhibits two different models which shed light on the perceived value of each examined area of study: conjoint analysis and clustering k-means algorithm.
Findings
The findings of the used methods exhibit not only which of the attributes have the greatest influence on students’ decision-making process, but also shed light on which types of study areas are most preferred by respondents.
Originality/value
The paper addresses a new view on students’ definition of higher education when adding the choice of selecting the “proper” area of study to one’s profile.
Keywords
Citation
Shtudiner, Z., Zwilling, M. and Kantor, J. (2017), "Field of study choice: using conjoint analysis and clustering", International Journal of Educational Management, Vol. 31 No. 2, pp. 179-188. https://doi.org/10.1108/IJEM-02-2016-0031
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited