Everything Hertz

110: Red flags for errors in papers

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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

    • [Dan on twitter](www.twitter.com/dsquintana)
    • [James on twitter](www.twitter.com/jamesheathers)
    • [Everything Hertz on twitter](www.twitter.com/hertzpodcast)
    • [Everything Hertz on Facebook](www.facebook.com/everythinghertzpodcast/)

      • 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

        Sponsored By:

        • Prolific: Prolific helps researchers find research participants on demand, with a pool of 75,000 active participants in North America and Europe.
        Everything Hertz listeners who want to give online sampling a go can get $50 in free Prolific credit that they can use to recruit participants, just go to prolific.co/everythinghertz Promo Code: everythinghertz

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