The Replication Network
Furthering the Practice of Replication in Economics
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Power 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…
Read MoreVASISHTH: The Statistical Significance Filter Leads To Overoptimistic Expectations of Replicability
[This blog draws on the article “The statistical significance filter leads to overoptimistic expectations of replicability”, authored by Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman, published in the Journal of Memory and Language, 103, 151-175, 2018. An open…
Read MoreSignificant Effects From Low-Powered Studies Will Be Overestimates
[From the article, “The statistical significance filter leads to overoptimistic expectations of replicability” by Shravan Vasishth, Daniela Mertzen, Lena Jäger, and Andrew Gelman, published in the Journal of Memory and Language] Highlights: “When low-powered studies show significant effects, these will…
Read MoreKahneman Shows the Right Way In Getting It Wrong
[From the website Retraction Watch] “Although it’s the right thing to do, it’s never easy to admit error — particularly when you’re an extremely high-profile scientist whose work is being dissected publicly. So while it’s not a retraction, we thought this…
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