Field of Study Choice: Using Conjoint Analysis and Clustering
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’...
Paper Details
Title
Field of Study Choice: Using Conjoint Analysis and Clustering
Published Date
Feb 15, 2016
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