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      Using science and psychology to improve the dissemination and evaluation of scientific work

       
      Frontiers in Computational Neuroscience
      Frontiers Media SA

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          Abstract

          Here I outline some of what science can tell us about the problems in psychological publishing and how to best address those problems. First, the motivation behind questionable research practices is examined (the desire to get ahead or, at least, not fall behind). Next, behavior modification strategies are discussed, pointing out that reward works better than punishment. Humans are utility seekers and the implementation of current change initiatives is hindered by high initial buy-in costs and insufficient expected utility. Open science tools interested in improving science should team up, to increase utility while lowering the cost and risk associated with engagement. The best way to realign individual and group motives will probably be to create one, centralized, easy to use, platform, with a profile, a feed of targeted science stories based upon previous system interaction, a sophisticated (public) discussion section, and impact metrics which use the associated data. These measures encourage high quality review and other prosocial activities while inhibiting self-serving behavior. Some advantages of centrally digitizing communications are outlined, including ways the data could be used to improve the peer review process. Most generally, it seems that decisions about change design and implementation should be theory and data driven.

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          Most cited references35

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          Effects of externally mediated rewards on intrinsic motivation.

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            Development of a Facebook Addiction Scale.

            The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.
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              The tragedy of the commons. The population problem has no technical solution; it requires a fundamental extension in morality.

              G. Hardin (1968)
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                Author and article information

                Journal
                Frontiers in Computational Neuroscience
                Front. Comput. Neurosci.
                Frontiers Media SA
                1662-5188
                August 19 2014
                August 19 2014
                : 8
                Article
                10.3389/fncom.2014.00082
                3437c12f-7e22-41d0-8ffc-bdf6c0c1e3d4
                © 2014
                History

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