Clustering social-economic higher education institutions on entrance test rating basis
Considering relevance of the problem of increase of efficiency of functioning of institutions of higher education and carried-out work on improvement of the mechanism of redistribution of means in the public sector of education (higher education institution financing depending on its demand and quality of the set of the entrants, defined on the basis of the rating of higher education institutions of the Russian Federation by the Unified State Examination GPA), in the article the results of the multidimensional statistical analysis of the quality of the entrants to social and economic higher education institutions of the country is presented with use of correlation, factorial, cluster and dispersive analyses. In the presented model the clustering of social and economic higher education institutions is carried out by indicators: the applicants' Unified State Examination GPA; share of the entrants enrolled by competition of points of Unified State Examination, by the target set, by the Olympiads and by privileges. This approach allows to analyse in detail forms of entrance tests and the quality of entrants of social and economic higher education institutions of the country. By results of the research in the four-dimensional factorial space a nine-cluster model allowing to carry out classification of social and economic higher education institutions in the nominal scale of measurements is constructed. According to the received results the highest share of the entrants by the target set is noted in eleven social and economic higher education institutions, by results of the Olympiads - in six, by the privileges - in eleven, and by the Unified State Examination GPA - in thirty three social and economic higher education institutions. The obtained data can be considered within the reform of the higher education, in particular at making decisions on optimization of the network system of the higher education.
Keywords
многомерный статистический анализ, вступительные испытания, экономическое образование, кластер, multidimensional statistical analysis, entrance tests, economic education, clusterAuthors
| Name | Organization | |
| Ackerman E. | Tomsk State University | aker@tomsk.gov.ru |
| Mikhal'chuk A.A. | Tomsk Polytechnic University | aamih@rambler.ru |
| Trifonov A.Yu. | Tomsk Polytechnic University | trifonov@mph.phtd.tpu.edu.ru |
References