In light of recent concerns about reproducibility and replicability, the ASA issued aonSigniand p-valuesat those who are notstatisticians. While the ASA State-ment notes that statistical signiand-values are "commonly misused and misinterpreted," it doesdiscussdocument broader implications of these errors for the interpretation of evidence. In this, we review research on how applied researchers who are notprimarily statisticians misuse and misin-terpret-values in practice and how this can lead to errors in the interpretation of evidence. We also presentdata, perhaps surprisingly, that researchers whoarestatisticians are also prone toand misinterpret-values thus resulting in similar errors. In, we show that statisticiansto interpret evidence dichotomously based on whether or not a-value crosses the conventional.05forsigni. We discuss implications and or recommendations. Light refreshments for seminar guests will be served at 3:10 p.m. in 1690
Department of BiostatisticsStatistical Significance and the Dichotomization of Evidence
Blakeley McShane, Ph.D., Associate Professor of Marketing - Northwestern, Kellogg School of Management
March 29, 2018
3:30 PM - 5:00 PM
1690 SPH I
1415 Washington Heights
Ann Arbor, MI 48109-2029
Sponsored by: Department of Biostatistics
Contact Information: Zhenke Wu (zhenkewu@umich.edu)
In light of recent concerns about reproducibility and replicability, the ASA issued aonSigniand p-valuesat those who are notstatisticians. While the ASA State-ment notes that statistical signiand-values are "commonly misused and misinterpreted," it doesdiscussdocument broader implications of these errors for the interpretation of evidence. In this, we review research on how applied researchers who are notprimarily statisticians misuse and misin-terpret-values in practice and how this can lead to errors in the interpretation of evidence. We also presentdata, perhaps surprisingly, that researchers whoarestatisticians are also prone toand misinterpret-values thus resulting in similar errors. In, we show that statisticiansto interpret evidence dichotomously based on whether or not a-value crosses the conventional.05forsigni. We discuss implications and or recommendations. Light refreshments for seminar guests will be served at 3:10 p.m. in 1690