Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CIDI) methodology. The main contribution is the proposal of a composite indicator weights correction based on the CIDI methodology. It leads to the improved stability and reduced uncertainty of the QS ranking system. The CIDI methodology is also applicable to other university rankings by proposing a specific statistical approach to creating a composite indicator.

The aim of this article is to present new ideas in evaluating Shanghai University's Academic Ranking of World Universities (ARWU). One issue frequently put forth in various publications is that the Shanghai rankings are sensitive to the relative weight they attribute to each variable. As a possible remedy to this issue, the statistical I-distance method is proposed to be used. Based on a sample containing the top 100 ranked universities, the results show a significant correlation with the official ARWU list. However, some inconsistencies concerning European universities have been noticed and elaborated upon.

Information and Communication Technology (ICT) represents an important structural part of modern society; this is why countries strive for constant progress in ICT and why it draws such significant attention. Bearing this in mind, the main goal of this paper is to present an I-distance methodology that holds a new perspective on the measurement of information development, to compare it to the ICT development index (IDI), and to point out improvements that such methodology provides. IDI combines 11 indicators related to three ICT categories: Access, Use and Skills (by weighting the first two by 40 percent and the third by 20 percent). The approach presented in this study uses the same indicators, synthesizing them into one value. Subsequently, which variables are the most relevant for measuring ICT development level of countries are able to be determined. Consequently, the I-distance method provides useful insight into developing countries and ways that enhance their ranking. The results show that the correlation between the I-distance values and IDI values is very strong, r = 0.961, p < 0.01, which makes I-distance an acceptable measurement method for evaluating countries’ ICT development levels.

BackgroundSustainable development and public health quite strongly correlate, being connected and conditioned by one another. This paper therein attempts to offer a representation of Europe’s current situation of sustainable development in the area of public health.MethodsA dataset on sustainable development in the area of public health consisting of 31 European countries (formally proposed by the European Union Commission and EUROSTAT) has been used in this paper in order to evaluate said issue for the countries listed thereof. A statistical method which synthesizes several indicators into one quantitative indicator has also been utilized. Furthermore, the applied method offers the possibility to obtain an optimal set of variables for future studies of the problem, as well as for the possible development of indicators.ResultsAccording to the results obtained, Norway and Iceland are the two foremost European countries regarding sustainable development in the area of public health, whereas Romania, Lithuania, and Latvia, some of the European Union’s newest Member States, rank lowest. The results also demonstrate that the most significant variables (more than 80%) in rating countries are found to be “healthy life years at birth, females” (r2 = 0.880), “healthy life years at birth, males” (r2 = 0.864), “death rate due to chronic diseases, males” (r2 = 0.850), and “healthy life years, 65, females” (r2 = 0.844).ConclusionsBased on the results of this paper, public health represents a precondition for sustainable development, which should be continuously invested in and improved.After the assessment of the dataset, proposed by EUROSTAT in order to evaluate progress towards the agreed goals of the EU Sustainable Development Strategy (SDS), this paper offers an improved set of variables, which it is hoped, may initiate further studies concerning this problem.

Both citizens and policymakers demand the best possible results from a country's healthcare system. It is of utmost importance to accurately and objectively assess the efficiency of a healthcare system and to note the key indicators, where resources are lost, and possibilities for improvement. This paper evaluates the efficiency of health systems in 38 countries, mainly members of the Organization for Economic Co-operation and Development, using data envelopment analysis (DEA). In the first stage, bootstrapped Ivanovic distance is used to generate weights for the indicators, thus taking into consideration different country's goals, but not to the extent of reducing the possibility of comparison. The analysis shows that human resources are the most important health system resource and countries should pay special attention to developing and employing competent medical workers. The reorganization of human resources and the funds allocated to them could also increase efficiency. The second stage examines environmental indicators to find the causes of inefficiency. No proof is found that any one basic health system funding model produces better health outcomes than the others. Obesity is identified as a major issue. K E Y W O R D Sefficiency evaluation, data envelopment analysis, health systems,

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Introduction:We evaluated the effectiveness of long-term continuous subcutaneous insulin infusion (CSII) compared with multiple daily insulin (MDI) injections for glycaemic control

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