We answer a listener question on identifying red flags for errors in papers. Is there a way to better equip peer-reviewers for spotting errors and suspicious data?
More details and links...
- We answer an audio question from Kim Mitchell.
- Submit your audio questions via our website
- Nick Brown's blogpost on the video game "study"
- We ran a live survey using Prolific! Go to prolific.com/everythinghertz to get $50 worth of credit for $1
- Spotting unlikely data in meta-analysis
- How can make reviewers better at detecting errors in papers?
- Using a "Red team" to pull apart your papers
- What do lay people think really happens in peer review?
Other links
Music credits: [Lee Rosevere](freemusicarchive.org/music/Lee_Rosevere/)
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Cite this episode
Quintana, D.S., Heathers, J.A.J. (Hosts). (2020, June 15) "110: Red flags for errors in papers", Everything Hertz [Audio podcast], DOI: 10.17605/OSF.IO/VTYNG
