Researchers explore Bayesian statistics to address replication crisis in behavioral sciences
By
Leah Shaffer
Lightly toasted, lightly seasoned, mostly correct.
Summary
This article discusses the "replication crisis" in behavioral sciences and experimental psychology, where repeated studies fail to replicate original findings. It highlights how researchers at Washington University in St. Louis are gathering evidence on the benefits of using Bayesian statistical frameworks as a potential solution for improving research replication and methodological rigor in the sciences.
Key quotes
· 3 pulledThe 'replication crisis' refers to a problem in the sciences where findings from previous experiments don't hold up when studies are repeated.
It is a particular issue for those in the behavioral sciences and experimental psychology; studies that should hold up, don't, and researchers have struggled with the vast task of both confirming what is known and trying to glean new and accurate information.
The concerns ramped up in the 2010s, when repeated experiments to corroborate published psychological studies ended up failing to replicate, adding to concerns about how studies are conducted.
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