Just Post It: The Lesson from Two Cases of Fabricated Data Detected by Statistics Alone by Uri Simonsohn :: SSRN

abernard102@gmail.com 2012-07-24


Use the link to access the full text article from SSRN. The abstract reads as follows: “I argue that journals should require authors to post the raw data supporting their published results. I illustrate some of the benefits of doing so by describing two cases of fraud I identified exclusively through statistical analysis of reported means and standard deviations. Analyses of the raw data provided important confirmation of the initial suspicions, ruling out benign explanations (e.g., reporting errors; unusual distributions), identifying additional signs of fabrication, and also ruling out one of the suspected fraudster’s explanations for his anomalous results. If we want to reduce fraud, we need to require authors to post their raw data.”




08/16/2012, 06:08

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Open Access Tracking Project (OATP) » abernard102@gmail.com


oa.new oa.data oa.business_models oa.publishers oa.policies oa.green oa.credibility oa.ssrn oa.case.data oa.repositories



Date tagged:

07/24/2012, 07:12

Date published:

07/24/2012, 07:39