The fuzziness index for examining human statistical decision-making

The fuzziness index is described as one of the most efficient and useful experimental tools to examine human decision-making in the area of statistical judgement. This study investigated how statistical significance levels were treated and interpreted by various researchers by using the fuzziness index to measure the degree of fuzziness in hypothesis-testing. The fuzziness index showed a significant association between the magnitude of the fuzziness and the critical point of the human statistical decisions. The research demonstrated the possibility of measuring the human imprecision of the decision boundary, and the effectiveness of the fuzziness index in assessing underlying psychological mechanisms in decision-making.<>