Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence

被引:52
作者
McShane, Blakeley B. [1 ]
Gal, David [2 ]
机构
[1] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA
[2] Univ Illinois, Coll Business Adm, Chicago, IL 60607 USA
关键词
sociology of science; evaluation of evidence; strength of evidence; null hypothesis; significance testing; p-values; description; inference; judgment; choice; NULL-HYPOTHESIS; SPECIAL SECTION; P-VALUES; KNOWLEDGE; SCIENCE; ERROR; TESTS;
D O I
10.1287/mnsc.2015.2212
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:1707 / 1718
页数:12
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