Economics & Sociology

ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789X
Index PUBMS: f5512f57-a601-11e7-8f0e-080027f4daa0
Article information
Title: Measuring the Performance of Universities through Cluster Analysis and the Use of Financial Ratio Indexes
Issue: Vol. 9, No 4, 2016
Published date: 12-2016 (print) / 12-2016 (online)
Journal: Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
Authors: Adela Feranecová
Andrea Krigovská
Keywords: factor analysis, cluster analysis, quality, ranking, universities, performance
DOI: 10.14254/2071-789X.2016/9-4/16
Index PUBMS: ce550d1e-020a-11e8-94c4-fa163e5d4f72
Language: English
Pages: 259-271 (13)
JEL classification: I21, I22
Website: http://www.economics-sociology.eu/?457,en_measuring-the-performance-of-universities-through-cluster-analysis-and-the-use-of-financial-ratio-indexes
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Abstract

Universities compete with each other for prestige, students, or significant global position in research and development. A comparison of the quality and performance of universities is carried out in the countries as a national comparison and then the international comparison of universities is made. Every single university excels at a different area, which can be a science and research, high level of educational activities and so on. That is why it is important to evaluate universities together as a whole according to pre-defined evaluation criteria, respectively indicators of quality and performance. Important role in the evaluation of higher education also plays a ranking of universities. In our research, we use data derived from one of the world’s top rankings of universities – QS World University Rankings. Sixty-seven world universities are object of our research. Input data are financial statements, including balance sheets and profit and loss accounts of selected universities for the period 2010 – 2014. Using statistical software SPSS we will first get correlation matrix, and then carry out a factor analysis and cluster analysis. Using cluster analysis, we classify the universities located in different financial situations into subsets with similar characteristics to form groups of universities with similar financial situation. The results of cluster analysis compared with the ranking of universities will show if the financial situation of individual universities is consistent with the placement in the ranking of universities based on the ranking criteria.