Field of Study Choice: Using Conjoint Analysis and Clustering

21 Pages Posted: 15 Feb 2016

See all articles by Ze'ev Shtudiner

Ze'ev Shtudiner

Ariel University - Department of Economics

Moti Zwilling

Ariel University

Jeffrey Kantor

Ariel University

Date Written: February 15, 2016

Abstract

This paper aims to measure student's preferences regarding various attributes that affect their decision process while choosing a higher education area of study. The study exhibits two different models which shed light on the perceived value of each examined area of study: 1. Conjoint Analysis and 2. Clustering K-Means algorithm. The findings of the used methods exhibit not only which of the attributes have the greatest influence on students’ decision-making processes, but also shed light on which types of study areas are most preferred by respondents. 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: Higher education, Preferences, Fields of study, Conjoint analysis

JEL Classification: I21, C10

Suggested Citation

Shtudiner, Ze'ev and Zwilling, Moti and Kantor, Jeffrey, Field of Study Choice: Using Conjoint Analysis and Clustering (February 15, 2016). Available at SSRN: https://ssrn.com/abstract=2732594 or http://dx.doi.org/10.2139/ssrn.2732594

Ze'ev Shtudiner (Contact Author)

Ariel University - Department of Economics ( email )

Ariel, 40300
Israel

Moti Zwilling

Ariel University ( email )

Israel

Jeffrey Kantor

Ariel University ( email )

Ariel, 40700
Israel

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