Field of study choice: using conjoint analysis and clustering

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.

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.

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.

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.