Shtudiner, Ze'ev
[VerfasserIn]
;
Zwilling, Moti
[Sonstige Person, Familie und Körperschaft];
Kantor, Jeffrey
[Sonstige Person, Familie und Körperschaft]
Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 15, 2016 erstellt
Beschreibung:
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