Evaluations of research work on the basis of multifactor correlation-regressional analysis

Abstract

In modern conditions, labor rationing is gradually turning from a purely calculated, technical process into a complex socio-economic task, covering the solution of issues of satisfaction with work, the development of workers, the prospects for their further work. The article reveals the essence of the modern method of developing standards for research work based on the use of multi-criteria correlation-regression analysis. Many scientific works are devoted to the study of the effectiveness of the use of correlation-regression analysis in the process of solving problems related to the establishment of relationships between factor attributes of various types, the construction of a multiple linear regression equation, the mathematical apparatus that is used in the process of constructing linear regression models. The issues of improving the methodological support for determining the labor intensity of research work using multi factor correlation-regression analysis. It has been established that indicators for the development of standards and the assessment of research work can be divided into quantitative and qualitative. The normative formula for determining labor costs for research and development is associated with the performance of certain work. Correctly established standards, which are derived from the norms, harmonize the functioning of the entire economic system both at the macro and micro levels. To calculate the aggregated standards for the labor intensity of scientific work, it is necessary to have actual and planned labor costs for carrying out research in general, their structural elements and individual stages and stages. The construction of a model for evaluating research work is associated with the need for a large number of mathematical assumptions due to the impossibility of fully accounting for the effect of qualitative indicators. It is concluded that little attention is paid to the methods of correlation-regression analysis for the regulation of research work in Ukraine, therefore, this is an urgent task for further scientific research.