• Journal of the Korean Statistical Society
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• 제25권3호
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• pp.407-418
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• 1996

Paired rankings data comes to us in two situations. One situation is when pairs of subjects, say husbands and wives, are asked to rank a group of objects. Another situation is when subjects are asked to rank a group of same objects at two time points, say, before and aster the treatment. In this study, we show how biplot techniques can be applied to represent graphically such paired rankings.

• 품질경영학회지
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• 제41권4호
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• pp.709-724
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• 2013

Purpose: The purpose of this study is to examine five evaluation models constructed by different normalization and aggregation methods in terms of the volatility of rankings and rank reversals. We also explore how the volatility of rankings of the five models changes and how often the rank reversals occur when the outliers are removed. Methods: We used data published in the Complete University Guide 2014. Two universities with missing values were excluded from the data. The university rankings were derived by using the five models, and then each model's volatility of rankings was measured. The box-plot was used to detect outliers. Results: Model 1 has the lowest volatility among the five models whether or not the outliers are included. Model 5 has the lowest number of rank reversals. Model 3, which has been used by many institutions, appears to be in the middle among the five in terms of the volatility and the rank reversals. Conclusion: The university rankings vary from one evaluation model to another depending on what normalization and aggregation methods are used. No single model exhibits clear superiority over others in both the volatility and the rank reversal. The findings of this study are expected to provide a stepping stone toward a superior model which is both reliable and robust.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.49-58
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• 2021

Globalization of higher education deepens the competition in the global educational services market. Competition between higher education institutions is based on the use of a wide range of activities and tools that are constantly evolving and becoming more complex. Digitalization significantly transforms the approaches to competition between universities in educational, research and marketing activities. Digital technologies are becoming an integral part of this competition. In addition, in the current conditions of globalization of the scientific and educational space, numerous rankings of universities have become an important tool of the competition; the most significant rankings of universities are as follows: Academic Ranking of World Universities (China), Times Higher Education Rankings of Universities (Great Britain), Webometrics (Spain). In the article, the key principles of the formation of world rankings of universities are analyzed, the main sources of information resources for their compilation are determined. The authors have concluded that the improvement of the position of educational institutions in the world rankings of universities should be implemented within the framework of the state educational policy. The key positive effects of universities due to increasing the competitiveness level of the national higher education system are specified.

• 산업공학
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• 제16권1호
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• pp.85-93
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• 2003

The purposes of this study are to investigate perceived discomfort for static joint motions, and to propose rankings for the joint motions based on the perceived discomfort. The perceived discomfort was measured through an experiment using the free modulus method of the magnitude estimation, in which ten healthy college-age female students participated. The results showed that joints, joint motions and their levels significantly affected the perceived discomfort at $\alpha$=0.01, and that the interaction of joints and joint motion levels was also significant. Based on the experimental results, three rankings were proposed by joint and joint motions, by joints and by joint motions, which were very different from the existing ones. Especially, the proposed rankings were different from the males' published before in their order and magnitude. These rankings can be used as a valuable tool for better understanding potentially adverse effects of poor working postures in industrial sites, and as basic data for developing the postural classification scheme.

• 공학교육연구
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• 제15권4호
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• pp.101-108
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• 2012

The purpose of this study is to infer how is the effect of a governmental funding project to graduate schools by taking an example of World Class University Project's potential impact on the change of world university rankings in an international university ranking survey. Systematic results show that WCU contributes to improving academic peer reviews for both individual and institutional standings and discipline-based rankings. The potential effect of improving world rankings of participating universities could be ascribed to relatively higher weight of the survey to international peer review and invitation of world class scholars to the participating universities, which is a core device of the project. This implies a need to affirmatively utilize WCU foreign scholars over the course of facilitating international academic networking. The results should also be taken into consideration by universities and the government when developing evaluation systems and restructuring the project.

• The International Journal of Costume Culture
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• 제3권2호
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• pp.124-135
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• 2000

This research investigated the difference in fabric preference over formal wear attire of 1999 Spring/Summer season between Korean and American female consumers. 25 Korean and 25 U.S.A. fabrics were used as fabric samples, and the respondents for the survey included 50 Koreans and 50 Americans in the 20s and 40s age groups. All six population groups showed similar dislike rankings toward the total fabrics (n=50). When the Korean fabrics and the U.S.A. fabrics were considered separately, the 20s and 40s age groups, especially between Korean 20s and Korean 40s, showed significant similarities in the dislike rankings. When the dislike preferences between Korean fabrics and U.S.A. fabrics were examined for different population groups, all the groups showed somewhat similar dislike rankings and in all cases U.S.A. fabrics were disliked more than the Korean fabrics. The most apparent difference in the physical characteristics of disliked fabrics was observed in jabric color. The Americans, especially the 40s age group, disliked fabrics with dark compound colors, whereas the Koreans in all age groups dislike fabrics close to bright pure colors.

• Journal of Construction Engineering and Project Management
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• 제8권2호
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• pp.17-33
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• 2018

This study investigates the stability of professionals' cost variability factor-rankings across different levels of cost-variability and response scenarios. Descriptive statistics are used to examine the stability of factor-ranking for 20 cost variability factors and a Multinomial Logistic (MNL) regression model was implemented to examine the stability of cost variability factors across three cost variability levels. The finding on the descriptive statistics indicated that professionals' factors-rankings are stable only for external factors. The MNL regression results on factor-stability suggested that 8 out of the 20 evaluated factors were unstable determinant of lower cost variability levels. These factors are "risk associated with the project", "personal bias and poor professionalism of the estimators", "limited time available to complete the project", "lack of skills and experience by estimator" "geographical location of projects", "incomplete & rush designs for estimate", "unforeseen or unexpected site constraints", "high class bidders for the contractors". Similarly lack of experience and large size projects were observed to be unstable as well. These observations suggest that professionals' view on pre-tender cost variability factor-ranking yields unstable factor rankings hence should not be relied upon as the only mechanisms to mitigate cost related risks in construction projects.

• 한국문헌정보학회지
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• 제49권3호
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.

• 대한산업공학회지
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• 제40권1호
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• pp.140-150
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• 2014

University ranking models, though they consider multiple indicators to evaluate universities, determine the overall score of each university based on their own normalization and aggregation methods. Thus, the rankings provided by such models primarily depend on actual scores of evaluation indicators, but they are also significantly affected by the normalization and aggregation methods. We examine the normalization methods of four university ranking models used in South Korea, China, and United Kingdom. We discuss a possible unintended consequence of these methods, i.e., some universities who want to improve their rankings may focus on unnecessary indicators, contrary to the evaluator's intension, due to the normalization methods. We suggest a new normalization method based on the statistical characteristics of the distribution of each evaluation indicator so that the new method can motivate the universities to move into the desirable directions intended by the evaluator.

• 정보관리학회지
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• 제28권4호
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• pp.119-140
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• 2011

교수연구업적을 보다 효과적으로 평가하기 위해서는 연구의 정량 및 정성적 측면을 고려하여야 한다. 본 연구에서는 연구의 양적 측면을 보여주는 논문 수와 질적 측면을 반영하는 피인용 수에 의한 국내 문헌정보학과 교수의 연구업적 평가순위를 국내 대학에서 사용되는 연구업적 평가규정을 적용한 순위와 비교 분석하였다. 연구결과, 논문 수에 의한 교수별 순위가 피인용 수에 의한 순위와 차이가 있으며, 대학별 교수 업적평가는 피인용 수보다는 논문 수에 의한 평가와 가까운 것으로 나타났다. 또한 대학별 상이한 논문 배점기준은 교수업적평가 결과에 별다른 영향을 끼치지 않았다. 향후 연구에서는 연구의 양적 및 질적 수준을 보다 잘 반영하는 계량서지학적 지표에 관한 연구가 진행되어야 할 것으로 본다.