The Replication Network
Furthering the Practice of Replication in Economics
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MCSHANE & GAL: Statistical Significance and Dichotomous Thinking Among Economists
[Note: This blog is based on our articles “Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence” (Management Science, 2016) and “Statistical Significance and the Dichotomization of Evidence” (Journal of the American Statistical Association,…
Read MoreAbandon Statistical Significance?
[From the abstract of a recent working paper by Blakeley McShane, David Gal, Andrew Gelman, Christian Robert, and Jennifer Tackett.] “In science publishing and many areas of research, the status quo is a lexicographic decision rule in which any result is first required to have…
Read MoreIf At First You Don’t Succeed, Change Alpha
In a recent working paper, posted on PsyArXiv Preprints, Daniel Benjamin, James Berger, Magnus Johanneson, Brian Nosek, Eric-Jan Wagenmakers, and 67 other authors(!) argue for a stricter standard of statistical significance for studies claiming new discoveries. In their words: “…we…
Read MoreSCHEEL: When Null Results Beat Significant Results OR Why Nothing May Be Truer Than Something
[The following is an adaption of (and in large parts identical to) a recent blog post by Anne Scheel that appeared on The 100% CI .] Many, probably most empirical scientists use frequentist statistics to decide if a hypothesis should be rejected…
Read MoreReasons for Loving Null Results
In a great blog (“Why we should love null results”) posted at The 100% CI, Anne Scheel gives some reasons why we should love statistically insignificant findings. Her reasons include: — “We should love null results to counter our tendency…
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