Classification of the hypothesis testing reliability criteria in socio-economic research

Abstract

The article presents a methodology for assessing the acceptability of a hypothesis tested by a researcher based on statistical criteria applicable to the study results. The generally accepted criteria of reliability and power obtained by studying combinations of quantities of results recognised as true or false have been expanded by including the completeness criterion in the methodology. This criterion is obtained by supplementing the classification of research results with an area of undefined values. In addition to the general indicators of the reliability of observations (reliability, power and completeness), intermediate indicators of the data structure are proposed to clarify the results structure of the tests carried out. The universality of the model considered in work allows it to be applied in various socio-economic and other studies. The calculations results based on the model can be evaluated and used for decision-making, depending on the area and purpose of a particular study.