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Analysis of higher education study results

The goal

To reveal factors affecting prospective student’s choice of college

What we did

Among others, we conducted a principal component analysis to reduce the number of factors. Based on the results of the previous step, we performed cluster analysis to group students based on commonalities of choice factors. The results were intended to help higher education institutions to do more effective targeting. The following statistical methods were used: Dimensionality reduction (Factor Analysis), Cluster Analysis, Descriptive and Inferential Statistics.

  • Client: Consulting company specialized in Higher Education: USA