Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence
研究发现，统计训练中强调的零假设显著性检验导致研究者将证据二分化，忽视或低估未达到统计显著性的证据，这一现象在医学、经济学等多个领域的研究者中普遍存在。
Statistical training helps individuals analyze and interpret data. However, the emphasis placed on null hypothesis significance testing in academic training and reporting may lead researchers to interpret evidence dichotomously rather than continuously. Consequently, researchers may either disregard evidence that fails to attain statistical significance or undervalue it relative to evidence that attains statistical significance. Surveys of researchers across a wide variety of fields (including medicine, epidemiology, cognitive science, psychology, business, and economics) show that a substantial majority does indeed do so. This phenomenon is manifest both in researchers’ interpretations of descriptions of evidence and in their likelihood judgments. Dichotomization of evidence is reduced though still present when researchers are asked to make decisions based on the evidence, particularly when the decision outcome is personally consequential. Recommendations are offered. This paper was accepted by Yuval Rottenstreich, judgment and decision making.