Field of Study Choice: Using Conjoint Analysis and Clustering
21 Pages Posted: 15 Feb 2016
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: Suggested Citation