The Task of Improving the University Ranking Based on the Statistical Analysis Methods

Abstract

The task of ranking the university in international rating systems is urgent. An approach to solving the problem is proposed to ensure the required values of the basic indicators of the university’s activity in the international institutional ranking QS using models developed on the basis of methods of correlation-regression analysis and factor analysis. Estimates of basic indicators and ratings were obtained based on the methods of correlation and regression analysis. A comparative analysis of the results obtained for universities in the reference group Interpretation of the results of factor analysis revealed a set of latent factors that have a significant impact on the baseline indicators. It is shown that measures to achieve the specified indicators must be carried out considering the identified correlation dependences of latent exponential factors and basic indicators, as well as the results of interpretation of the developed factor model. The novelty of the developed proposals lies in the assessment of the significance of latent factors affecting the basic indicators of the analysis of the university’s activities, based on the use of correlation-regression methods and methods of factor analysis. The developed factorial model made it possible to group and structure the obtained data, as well as to reduce the dimension of the problem being solved. The results obtained allow us to solve the problem of identifying latent factors and to substantiate the conditions for achieving the required indicators of the university ranking in the international financial ranking QS.KeywordsCorrelation-regression analysisFactor analysisBasic indicatorsInstitutional rating