An Alternative Look at Measurement of University Performance in STEM education: A Data Envelopment Analysis Project

Sukanya Kemp () and Irina Chernikova ()
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Sukanya Kemp: University of Akron
Irina Chernikova: University of Akron

No 4607921, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: How is success measured in the field of STEM education in US universities? Such a question can be difficult to answer because of the lack of uniformity among the relevant variables. Given the wide diversity in success indicators, and the fact that universities choose to pursue different aspects of educational outcomes, it is often difficult to compare performances and definitively point to one school as 'better' than another. In an attempt to measure university efficiency in the areas of engineering, natural, physical and health sciences, the authors use the non-stochastic frontier model of Data Envelopment Analysis (DEA), which is commonly used in Operations Research literature, to evaluate the efficiency of producers. In this initial research, the authors isolated the large public universities of Ohio as the subject of the analysis. They found that with the input-output structure defined by the data, certain universities clearly stood out as efficient compared to others in the dissemination of STEM education. A logistic regression isolated the inputs and outputs that had the strongest effects on the efficiency scores.

Keywords: STEM education; University Performance; Data Envelopment Analysis; Efficiency (search for similar items in EconPapers)
JEL-codes: A00 C67 (search for similar items in EconPapers)
Pages: 1 page
Date: 2017-07
New Economics Papers: this item is included in nep-cse, nep-edu and nep-eff
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Published in Proceedings of the Proceedings of the 31st International Academic Conference, London, Jul 2017, pages 114-114

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