The Replication Network
Furthering the Practice of Replication in Economics
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IN THE NEWS: Wired (November 26, 2019)
[Excerpts taken from the article, “We’re All ‘P-Hacking’ Now” by Christie Aschwanden, publised in Wired] “It’s got an entry in the Urban Dictionary, been discussed on Last Week Tonight with John Oliver, scored a wink from Cards Against Humanity, and now it’s been featured…
Read MoreDeborah Mayo on Banning Significance Tests
[Excerpts taken from the article “P-value Thresholds: Forfeit at Your Peril’ by Deborah Mayo, forthcoming in the European Journal of Clinical Investigation] “A key recognition among those who write on the statistical crisis in science is that the pressure to…
Read MoreWant to Retire Significance Testing? Sign the Petition. Deadline is Tomorrow!
[From the blog ““Abandon / Retire Statistical Significance”: Your chance to sign a petition!” by Andrew Gelman, posted at StatsBlogs] “Valentin Amrhein, Sander Greenland, and Blake McShane write:” “We have a forthcoming comment in Nature arguing that it is time…
Read MoreThe Problem Isn’t Bad Incentives, It’s the Ritual Behind Them
[From the article, “Statistical Rituals: The Replication Delusion and How We Got There” by Gerd Gigerenzer, published in Advances in Methods and Practices in Psychological Science] “The “replication crisis” has been attributed to misguided external incentives gamed by researchers (the…
Read MoreIntro to Open Science in 8 Easy Steps
[From the working paper, “8 Easy Steps to Open Science: An Annotated Reading List” by Sophia Crüwell et al., posted at PsyArXiv Preprints] “In this paper, we provide a comprehensive and concise introduction to open science practices and resources that can help…
Read MoreM Is For Pizza
[From the blog ““Tweeking”: The big problem is not where you think it is” by Andrew Gelman, posted at Statistical Modeling, Causal Inference, and Social Science] “In her recent article about pizzagate, Stephanie Lee included this hilarious email from Brian Wansink, the…
Read MoreMCSHANE & 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 MoreA Roundtable Podcast on the Merits of Lowering the Threshold for Statistical Significance to 0.005
This past week, the International Methods Colloquium hosted a conference call on a recent proposal to reduce the threshold of statistical significance to 0.005. Participants included Daniel Benjamin, Daniel Lakens, Blake McShane, Jennifer Tackett, E.J. Wagenmakers, and Justin Esarey, all…
Read MoreIs Fixing the Replication Crisis As Simple as Lowering the p-Value?
[From the article “A statistical fix for the replication crisis in science” by Valen E. Johnson at https://theconversation.com/au.] “In a trial of a new drug to cure cancer, 44 percent of 50 patients achieved remission after treatment. Without the drug, only…
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…
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