The aim of the study is to examine Turkey's 76 foundation universities according to academic, financial and administrative indicators with cluster analysis and classify them within the framework of selected variables. In the study, variables accepted as academic, financial and administrative indicators were clustered using Ward's method and k-mean method. The most up-to-date data published on the Higher Education Institution (YÖK) website was used as the data source. 76 universities were grouped into six clusters according to the hierarchical clustering analysis using 13 academic, financial and administrative indicators. Then the k-means method was applied. The efficiency of the academic, financial and administrative variables of the universities in the formed clusters was determined by the results of ANOVA. While performing hierarchical clustering methods, standardization process was applied to the data. At the same time, it was determined which method would be applied depending on the observation data, variable data type and number. As a result of this study, in which two clustering methods were studied, different clustering structures were obtained for both methods.
Primary Language | English |
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Journal Section | Research Articles |
Authors | |
Publication Date | November 28, 2022 |
Submission Date | September 24, 2022 |
Published in Issue | Year 2022 Volume: 1 Issue: 1 |