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Sunday
Mar202016

RS 155 - Uri Simonsohn on "Detecting fraud in social science"

Release date: March 20th, 2016

Uri Simonsohn

He's been called a "Data vigilante." In this episode, Prof. Uri Simonsohn describes how he detects fraudulent work in psychology and economics -- what clues tip him off? How big of a problem is fraud relative to other issues like P-hacking? And what solutions are there?

Podcast edited by Brent Silk

 

 

Full Transcripts 

 

Reader Comments (3)

I like rationality and stuff, but this intro gave me cancer.
March 23, 2016 | Unregistered Commenterno
Excellent episode.
March 24, 2016 | Unregistered CommenterGil
Instead of preregistration, would allowing publication of a null result (negative correlation) and also disclosure of study data at the time of publication serve as a better incentive to avoid fraud, bias, p-hacking, and general research sloppiness? Preregistration might lead to an inhibition against redesigning the study after initial unproductive findings. Many experiments require redesign in progress in order to obtain useful results.
December 13, 2017 | Unregistered CommenterJameson

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