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A composite indicator dimension reduction procedure with application to university student satisfaction

机译:综合指标降维程序在大学生满意度中的应用

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摘要

Universities play a central role within society and should provide high quality services to students. Therefore, a careful evaluation of university services is necessary. This evaluation is complex because it involves many partial aspects and can be assessed through a composite indicator. In this paper, we propose a simple method for reducing the number of partial aspects underlying a composite indicator. A practical application to data from a sample survey conducted on the last year students of the University of Padova is discussed. This survey considered the quality of many services, lecture rooms, library services, computer classrooms, reading rooms in libraries, study rooms, structure of exams, student socialization, reached skills and so forth. The method has been compared with principal component analysis. The results show that our method is worthy of consideration as it is markedly simpler to be applied than the other dimension reduction methods and requires milder assumptions.
机译:大学在社会中发挥着核心作用,应为学生提供高质量的服务。因此,有必要对大学服务进行仔细评估。此评估很复杂,因为它涉及许多局部方面,可以通过综合指标进行评估。在本文中,我们提出了一种简单的方法来减少构成复合指标的部分方面的数量。讨论了对帕多瓦大学去年学生进行的抽样调查数据的实际应用。这项调查考虑了许多服务,教室,图书馆服务,计算机教室,图书馆的阅览室,自修室,考试结构,学生社会化程度,达到的技能等的质量。该方法已与主成分分析进行了比较。结果表明,我们的方法值得考虑,因为它比其他降维方法明显更易于应用,并且需要较温和的假设。

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