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      Just post it: the lesson from two cases of fabricated data detected by statistics alone.

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      Psychological science

      SAGE Publications

      data posting, data sharing, decision making, fake data, judgment, scientific communication

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          Abstract

          I argue that requiring authors to post the raw data supporting their published results has the benefit, among many others, of making fraud much less likely to go undetected. I illustrate this point by describing two cases of suspected fraud I identified exclusively through statistical analysis of reported means and standard deviations. Analyses of the raw data behind these published results provided invaluable 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 fraud's explanations for his anomalous results. If journals, granting agencies, universities, or other entities overseeing research promoted or required data posting, it seems inevitable that fraud would be reduced.

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          Most cited references 43

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          Ego depletion: Is the active self a limited resource?

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            Instructional manipulation checks: Detecting satisficing to increase statistical power

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              Belief in the law of small numbers.

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                Author and article information

                Journal
                Psychol Sci
                Psychological science
                SAGE Publications
                1467-9280
                0956-7976
                Oct 2013
                : 24
                : 10
                Affiliations
                [1 ] The Wharton School, University of Pennsylvania.
                Article
                0956797613480366
                10.1177/0956797613480366
                23982243

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