The preregistration revolution

@article{Nosek2018ThePR,
  title={The preregistration revolution},
  author={Brian A. Nosek and Charles R. Ebersole and Alexander C DeHaven and David T Mellor},
  journal={Proceedings of the National Academy of Sciences},
  year={2018},
  volume={115},
  pages={2600 - 2606}
}
  • Brian A. Nosek, Charles R. Ebersole, +1 author David T Mellor
  • Published 2018
  • Computer Science, Medicine
  • Proceedings of the National Academy of Sciences
  • Progress in science relies in part on generating hypotheses with existing observations and testing hypotheses with new observations. This distinction between postdiction and prediction is appreciated conceptually but is not respected in practice. Mistaking generation of postdictions with testing of predictions reduces the credibility of research findings. However, ordinary biases in human reasoning, such as hindsight bias, make it hard to avoid this mistake. An effective solution is to define… CONTINUE READING
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    References

    SHOWING 1-10 OF 73 REFERENCES
    Scientific Utopia
    • Brian A. Nosek, J. Spies, M. Motyl
    • Psychology, Physics
    • Perspectives on psychological science : a journal of the Association for Psychological Science
    • 2012
    • 760
    • PDF
    An Agenda for Purely Confirmatory Research
    • 527
    • PDF
    Why Most Published Research Findings Are False
    • 4,519
    • PDF
    Robustness in the Strategy of Scientific Model Building.
    • 1,060
    Detecting and avoiding likely false‐positive findings – a practical guide
    • 178
    • PDF
    Simultaneous and selective inference: Current successes and future challenges.
    • Y. Benjamini
    • Computer Science, Medicine
    • Biometrical journal. Biometrische Zeitschrift
    • 2010
    • 128
    • PDF
    The hindsight bias: A meta-analysis
    • 380