Field of study choice: using conjoint analysis and clustering. Issue 2 (13th March 2017)

• Record Type: Journal Article
• Authors: Shtudiner, Ze'ev; Zwilling, Moti; Kantor, Jeffrey
• Is Part Of: International journal of educational management. Volume 31:Issue 2(2017)
• Page Start: 179
• Page End: 188
• Publication Date: 2017-03-13
• Subjects: Conjoint analysis -- Area of study -- Decision support systems and marketing -- Higher education and preferences; School management and organization -- Periodicals; Universities and colleges -- Administration -- Periodicals; 371.2
• DOI: 10.1108/IJEM-02-2016-0031
• Languages: English
• ISSNs: 0951-354X

Abstract

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.