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  Preregistration: Increasing transparency in electrophysiological research

Govaart, G., & Paul, M. (2021). Preregistration: Increasing transparency in electrophysiological research. Talk presented at Psychologie und Gehirn 2021. online. 2021-06-02 - 2021-06-04.

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 Creators:
Govaart, Gisela1, 2, 3, Author              
Paul, Mariella4, Author
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
2Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany, ou_persistent22              
3Humboldt-Universität zu Berlin, Faculty of Philosophy, Berlin School of Mind and Brain, Luisenstraße 56, 10117 Berlin, Germany, ou_persistent22              
4Psychology of Language Department, University of Göttingen, Goßlerstraße 14, 37073 Göttingen, Germany, ou_persistent22              

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Free keywords: Preregistration, EEG, Transparency
 Abstract: In this talk, we will discuss how preregistration can be used to increase transparency in electrophysiological research. We will start by discussing how confirmation bias (looking for information that supports prior beliefs), hindsight bias (overestimating in how far past events predicted a current outcome), and pressure to publish can lead to (unconscious) data exploration after which only (statistically) significant results are reported. We will highlight some of the problems associated with this undisclosed analytic flexibility, focusing on EEG research, in which complex multidimensional data can be preprocessed and analyzed in many possible ways. We argue that transparently disclosing analytic choices can mitigate confirmation and hindsight bias and make EEG research more verifiable. One possible tool for transparent reporting is preregistration: providing a time-stamped, publicly accessible research plan with hypotheses, a data collection plan, and the intended pre-processing and statistical analyses, written before the data were accessed. We will provide examples on how to create preregistrations for EEG studies that are specific, precise and exhaustive, focusing on data pre-processing and analysis steps. Finally, we will highlight the benefits and critically discuss the limitations of adopting preregistration for EEG researchers.

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Language(s): eng - English
 Dates: 2021-03-30
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
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Title: Psychologie und Gehirn 2021
Place of Event: online
Start-/End Date: 2021-06-02 - 2021-06-04

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