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引用次数: 0

摘要

本文提出了一种方法来评估一个假设的可接受性测试的研究人员基于统计标准适用于研究结果。通过研究可识别为真或假的结果数量的组合而获得的普遍接受的可靠性和功率标准已通过在方法中包括完备性标准而得到扩展。这一标准是通过在研究结果的分类中补充一个未定义值的区域而得到的。除了观测值可靠性的一般指标(可靠性、功率和完整性)外,还提出了数据结构的中间指标,以澄清所进行试验的结果结构。工作中考虑的模型的普遍性使其能够应用于各种社会经济和其他研究。基于模型的计算结果可以根据特定研究的领域和目的进行评估并用于决策。
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Classification of the hypothesis testing reliability criteria in socio-economic research
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.
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