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Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention
John P A Ioannidis1, Marcus R Munafò2, Paolo Fusar-Poli3
1Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA 94305, USA; Meta-Research Innovation Center at Stanford (METRICS), Stanford, CA 94305, USA.
None:
Recent systematic reviews and empirical evaluations of the cognitive sciences literature suggest that publication and other reporting biases are prevalent across diverse domains of cognitive science. In this review, we summarize the various forms of publication and reporting biases and other questionable research practices, and overview the available methods for probing into their existence. We discuss the available empirical evidence for the presence of such biases across the neuroimaging, animal, other preclinical, psychological, clinical trials, and genetics literature in the cognitive sciences. We also highlight emerging solutions (from study design to data analyses and reporting) to prevent bias and improve the fidelity in the field of cognitive science research.
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