Search results for "university ranking"

showing 5 items of 5 documents

Weighted distance-based trees for ranking data

2017

Within the framework of preference rankings, the interest can lie in finding which predictors and which interactions are able to explain the observed preference structures, because preference decisions will usually depend on the characteristics of both the judges and the objects being judged. This work proposes the use of a univariate decision tree for ranking data based on the weighted distances for complete and incomplete rankings, and considers the area under the ROC curve both for pruning and model assessment. Two real and well-known datasets, the SUSHI preference data and the University ranking data, are used to display the performance of the methodology.

Statistics and ProbabilityDecision tree03 medical and health sciences0302 clinical medicine0504 sociology030225 pediatricsPreference dataStatisticsDecision treePruning (decision trees)University ranking dataDistance-based methodMathematicsWeighted distanceApplied Mathematics05 social sciencesUnivariate050401 social sciences methodsSUSHI dataComputer Science Applications1707 Computer Vision and Pattern RecognitionPreferenceComputer Science ApplicationsRankingRanking dataKemeny distanceSettore SECS-S/01 - StatisticaArea under the roc curve
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Eficiencia en la educación superior. Estudio empírico en universidades públicas de Colombia y España

2020

Resumen En las últimas décadas, las universidades de Iberoamérica han introducido nuevos esquemas de evaluación de calidad y rendición de cuentas, inspirados en el modelo de la nueva gestión pública (NGP). En este contexto, la eficiencia en el reparto de los fondos públicos y la obtención del máximo rendimiento posible son una prioridad. Así, medir la eficiencia en el sector público, y específicamente en la educación superior, se ha convertido en un desafío para la ciencia contable. El objetivo de este trabajo es una propuesta para el cálculo de índices de eficiencia con modelos de análisis envolvente de datos (DEA), introduciendo un paso previo a través del análisis de correlación canónica…

Public Administrationeducación superior050905 science studiesanálise de envelope de dados DEAqualidade educacionalJF20-2112ensino superioranálisis de correlación canónicacanonical correlation analysisdata envelopment analysis DEAeficienciaproductividad05 social sciencesranking universitário050301 educationcalidad educativaeficiênciaprodutividadeanálisis envolvente de datos (DEA)análise de correlação canônicarankings universitariosuniversity rankingsefficiencyhigher education0509 other social sciencesPolitical institutions and public administration (General)0503 educationRevista de Administração Pública
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Does openness and open access policy relate to the success of universities?

2013

This study takes a closer look at the Ranking Web of Universities and Ranking Web of Repositories rankings and tries to examine if there is a connection between these two rankings. Study is done by analyzing the success of University of Jyväskylä and the institutional repository JyX of the University in these rankings. Comparison shows that the JyX archive plays an important role in University’s success especially when analyzing the presence and openness of the University. By analyzing the success of eight European countries in these rankings and cross reading these findings with the development of relative citation impact shown in a report by the Finnish Academy, some interesting common tr…

open accessUniversity of JyväskyläJyxbusiness.industrymedia_common.quotation_subjectLibrary and Information SciencesPublic relationsCitation impactComputer Science ApplicationsInstitutional repositoryuniversity rankingsRankingjulkaisuarkistotPolitical scienceReading (process)open access policyOpenness to experienceavoimuusRanking Web of RepositoriesbusinessRanking Web of UniversitiesInformation Systemsmedia_commonInformation Services & Use
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On some flaws of university rankings: The example of the SCImago report

2012

International audience; Using France as our main example, we show there is a much scope for improving the SCImago ranking. We detect problems of nomenclature, double affiliation, aggregation and of bias toward large public-funded research organizations. The output per scholar is more important than the output per organization. The examples we cite suggest that only detailed knowledge of the situation can help in addressing the issue and take us beyond any automatic reading of the metadata.

JEL: A - General Economics and Teaching/A.A1 - General Economics/A.A1.A14 - Sociology of EconomicsEconomics and EconometricsInformation retrievalScope (project management)Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencesmedia_common.quotation_subjectaggregation[SHS.ECO]Humanities and Social Sciences/Economics and Financeuniversity rankingagrégation[SHS.INFO] Humanities and Social Sciences/Library and information sciencesRanking (information retrieval)SCImagoMetadataReading (process)SJRclassement universités[ SHS.ECO ] Humanities and Social Sciences/Economies and financesAgrégationaffiliation[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : A - General Economics and Teaching/A.A1 - General Economics/A.A1.A14 - Sociology of Economicsmedia_common
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Universities' Reporting on SDGs: Using THE Impact Rankings to Model and Measure Their Contribution to Sustainability

2021

Higher education institutions (HEIs) have voiced growing concerns about sustainability issues since Agenda 2030 was approved, but this is not enough for societal stakeholders seeking and delivering innovation and excellence. The 17 Sustainable Development Goals (SDGs) were adopted by all UN Member States in 2015 as a universal call to action, and pose a challenge for HEIs as for the efforts made to fulfill them and knowing how to assess their performance. However, the metric management system implemented by HEIs quickly led to rankings emerging, which compare HEIs to metrics not related to the sustainability dimensions of the 17 SDGs. The main aim of the paper is to assess the level of repo…

Higher educationmedia_common.quotation_subjectGeography Planning and DevelopmentTJ807-830Logistic regressionSustainable development goalsAccounting010501 environmental sciencesManagement Monitoring Policy and LawTD194-195university ranking:CIENCIAS ECONÓMICAS [UNESCO]01 natural sciencesRenewable energy sourcesExcellence0502 economics and businessGE1-350Higher educationLinear regression0105 earth and related environmental sciencesmedia_commonSustainable developmentGeographic locationEnvironmental effects of industries and plantsDescriptive statisticsRenewable Energy Sustainability and the Environmentbusiness.industrylogistic regression05 social sciencesUniversity rankingUNESCO::CIENCIAS ECONÓMICASgeographic location; higher education; linear regression; logistic regression; metric management model; sustainable development goals; university ranking sustainabilitysustainabilitysustainable development goalsmetric management modelCall to actionEnvironmental sciencesRankinggeographic locationhigher educationManagement systemSustainabilitylinear regressionECONOMIA FINANCIERA Y CONTABILIDADBusinessMetric management model04.- Garantizar una educación de calidad inclusiva y equitativa y promover las oportunidades de aprendizaje permanente para todos050203 business & management
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