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      Nonreplicable publications are cited more than replicable ones

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      Science Advances
      American Association for the Advancement of Science

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          Abstract

          Published papers that fail to replicate are cited more than those that replicate, even after the failure is published.

          Abstract

          We use publicly available data to show that published papers in top psychology, economics, and general interest journals that fail to replicate are cited more than those that replicate. This difference in citation does not change after the publication of the failure to replicate. Only 12% of postreplication citations of nonreplicable findings acknowledge the replication failure. Existing evidence also shows that experts predict well which papers will be replicated. Given this prediction, why are nonreplicable papers accepted for publication in the first place? A possible answer is that the review team faces a trade-off. When the results are more “interesting,” they apply lower standards regarding their reproducibility.

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          Most cited references28

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          PSYCHOLOGY. Estimating the reproducibility of psychological science.

          Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
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            False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant.

            In this article, we accomplish two things. First, we show that despite empirical psychologists' nominal endorsement of a low rate of false-positive findings (≤ .05), flexibility in data collection, analysis, and reporting dramatically increases actual false-positive rates. In many cases, a researcher is more likely to falsely find evidence that an effect exists than to correctly find evidence that it does not. We present computer simulations and a pair of actual experiments that demonstrate how unacceptably easy it is to accumulate (and report) statistically significant evidence for a false hypothesis. Second, we suggest a simple, low-cost, and straightforwardly effective disclosure-based solution to this problem. The solution involves six concrete requirements for authors and four guidelines for reviewers, all of which impose a minimal burden on the publication process.
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              Redefine statistical significance

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                May 2021
                21 May 2021
                : 7
                : 21
                : eabd1705
                Affiliations
                Rady School of Management, University of California, San Diego La Jolla, CA, USA.
                Author notes
                [* ]Corresponding author. Email: mserragarcia@ 123456ucsd.edu
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-5875-4986
                http://orcid.org/0000-0001-6663-5306
                Article
                abd1705
                10.1126/sciadv.abd1705
                8139580
                34020944
                c8c585cc-0db9-4440-86a5-33a3ac4ee26b
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 04 June 2020
                : 01 April 2021
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Scientific Community
                Social Sciences
                Scientific Community
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                Vivian Hernandez

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