Application of Non-Parametric Statistics and Econometrics Methods in HR-processes Analysing
Methods of non-parametric statistics, facilitating analysis of processes in the human resource management sphere are reviewed. Such methods allow to explore relationships between qualitative characteristics, between quantitative and qualitative attributes, and to evaluate results generated by expertise. The authors draw examples, showing how to use Spearman’s coefficient, Kendall’s coefficient, coefficient of concordance in studying particular HRM problems, such as employee turnover, job satisfaction level of employees etc. Revealed are the capabilities of correlation and regression analysis and of cluster analysis for evaluating coordinated changes of quantitative factors and for describing dependent variable behaviour with the set of appropriate independent variables. The described analytical toolkit in terms of theory will afford enhancement of research results quality and credibility, and in terms of practice — refinement of source information analysis for further effective decision-making on the HRM issues.