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Exploring the Meaning of Significance in Experimental Economics
16 references·7 citing·51 second hop
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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 2005Why Most Published Research Findings Are False10,471 cited
  • 1992A power primer.8,753 cited
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 2007God Is Watching You1,138 cited
  • 2006The Hidden Costs of Control1,042 cited
  • 1989Do studies of statistical power have an effect on the power of studies?748 cited
  • 2008What's in a name? Anonymity and social distance in dictator and ultimatum games604 cited
  • 2003requivalent: A simple effect size indicator.379 cited
  • 2005Bubbles and Experience: An Experiment331 cited
  • 2006Neutral versus loaded instructions in a bribery experiment281 cited
  • 2013One Swallow Doesn't Make a Summer: New Evidence on Anchoring Effects279 cited
  • 2011So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design243 cited
  • 2009Stated beliefs versus inferred beliefs: A methodological inquiry and experimental test164 cited
  • 2013US studies may overestimate effect sizes in softer research131 cited

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  • 1989Do studies of statistical power have an effect on the power of studies?110 cited
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    • 2021Experimental and behavioral economics to inform agri-environmental programs and policies26 cited
    • 2018Statistical Power of within and Between-Subjects Designs in Economic Experiments25 cited
    • 2019Preregistration and reproducibility23 cited
    • 2020Power(ful) guidelines for experimental economists22 cited
    • 2022We Need to Talk About Mechanical Turk: What 22,989 Hypothesis Tests Tell Us About Publication Bias and P-Hacking in Online Experiments11 cited