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SUMMARY:What do we learn from registered reports? - Andrew Eggers (Univers
 ity of Chicago)
DTSTART;VALUE=DATE-TIME:20260213T124500Z
DTEND;VALUE=DATE-TIME:20260213T140000Z
UID:https://talks.ox.ac.uk/talks/id/3eda13d6-d706-4caa-bf64-6719591a962c/
DESCRIPTION:In registered reports\, researchers submit a design for review
 \; the journal decides whether to publish before results are available. Ho
 w and when does the registered report approach improve on pre-registration
  and standard post-implementation peer review? And how should researchers 
 make use of this new way to publish research? We consider these questions 
 in light of a Bayesian learning model that incorporates researcher incenti
 ves. By withholding the publication decision until the study is completed\
 , the conventional review process gains access to more information (the fi
 nding\, but also details of the design as implemented) and limits moral ha
 zard risk. But it may also encourage distortion (e.g. p-hacking) by public
 ation-seeking researchers\, reducing what can be learned. Registered repor
 ts help address this\, and may also improve the average design of implemen
 ted projects both by selecting promising designs for implementation and ge
 nerating more feedback for authors at the design stage. We conclude with a
 dvice for researchers\, editors\, and reviewers about writing and assessin
 g registered report submissions.  \nSpeakers:\nAndrew Eggers (University o
 f Chicago)
LOCATION:Manor Road Building (Seminar Room C)\, Manor Road OX1 3UQ
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/3eda13d6-d706-4caa-bf64-6719591a962c/
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DESCRIPTION:Talk:What do we learn from registered reports? - Andrew Eggers
  (University of Chicago)
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