The Replication Network
Furthering the Practice of Replication in Economics
Category: NEWS & EVENTS
How Pre-Registration Can Lead to Higher-Powered Studies and Increase Reproducibility
[From the paper “Preregistration and reproducibility” by Eirik Strømland, forthcoming in the Journal of Economic Psychology] “I present a simple model in which the research community is populated by agents who may report their results unconditionally or conditionally on statistical…
Read MoreIN THE NEWS: Wired (February 15, 2019)
[From the article “DARPA Wants to Solve Science’s Reproducibility Crisis With AI” by Adam Rogers, published in Wired] “A Darpa program called Systematizing Confidence in Open Research and Evidence—yes, SCORE—aims to assign a “credibility score” … to research findings in the…
Read MoreSomebody Asks, How Can A Theory Be Falsified? Twitter Responds
[From the Twitter thread started by @JessieSunPsych] Jessie Sun (@JessieSunPsych) relayed the following question that was raised at a recent Psychology conference: “At what point can a theory be falsified (e.g., if the effect size is d = .02)? We often…
Read MoreResources for Incorporating Pre-registration and Replication in the Classroom
Nicole Janz (University of Nottingham, @PolSciReplicate) has a set of great resources for those looking for an example of a pre-registration assignment for undergraduates (this for a political science course). The slides to accompany the assignment are here. The template…
Read MoreHow Many Ways Can You Misinterpret p-Values, Confidence Intervals, Statistical Tests, and Power? 25
[From the blog “Misinterpreting Tests, P-Values, Confidence Intervals & Power” by Dave Giles, posted at his blogsite, Econometrics Beat] “Today I was reading a great paper by Greenland et al. (2016) that deals with some common misconceptions and misinterpretations that arise not…
Read MoreWhat Can Stop Bad Science? Open Science and Modified Funding Lotteries
[From the working paper, “Open science and modified funding lotteries can impede the natural selection of bad science” By Paul Smaldino, Matthew Turner, and Pablo Contreras Kallens, posted at OSF Preprints] “…we investigate the influence of three key factors on the…
Read MorePower is not the point. It’s the curve.
[From the blog “Why you shouldn’t say ‘this study is underpowered’” by Richard Morey, posted at Towards Data Science, at Medium. com] “The first thing to clear up, as I’ve stated above, is that study or an experiment is not…
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