Too good to be true: publication bias in two prominent studies from experimental psychology.

Psychonomic Bulletin & Review
Gregory Francis

Abstract

Empirical replication has long been considered the final arbiter of phenomena in science, but replication is undermined when there is evidence for publication bias. Evidence for publication bias in a set of experiments can be found when the observed number of rejections of the null hypothesis exceeds the expected number of rejections. Application of this test reveals evidence of publication bias in two prominent investigations from experimental psychology that have purported to reveal evidence of extrasensory perception and to indicate severe limitations of the scientific method. The presence of publication bias suggests that those investigations cannot be taken as proper scientific studies of such phenomena, because critical data are not available to the field. Publication bias could partly be avoided if experimental psychologists started using Bayesian data analysis techniques.

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Citations

May 23, 2012·Proceedings of the National Academy of Sciences of the United States of America·Gregory Francis
Aug 28, 2013·Proceedings of the National Academy of Sciences of the United States of America·Daniele Fanelli, John P A Ioannidis
May 3, 2013·PloS One·David R ShanksChristopher Moore
Oct 12, 2012·Psychonomic Bulletin & Review·Gregory Francis
Oct 9, 2013·Psychonomic Bulletin & Review·Adam N Sanborn, Thomas T Hills
Sep 5, 2013·Psychonomic Bulletin & Review·Erica C YuMichael R Dougherty
Nov 22, 2013·Psychonomic Bulletin & Review·Steven E ClarkScott D Gronlund
Mar 19, 2014·Psychonomic Bulletin & Review·Gregory Francis
Jul 1, 2015·Psychonomic Bulletin & Review·Miguel A VadilloDavid R Shanks
Jul 2, 2015·Psychonomic Bulletin & Review·Maime Guan, Joachim Vandekerckhove
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