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- W2279306058 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." @default.
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- W2279306058 date "2016-01-01" @default.
- W2279306058 modified "2023-10-17" @default.
- W2279306058 title "Field of Study Choice: Using Conjoint Analysis and Clustering" @default.
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- W2279306058 doi "https://doi.org/10.2139/ssrn.2732594" @default.
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