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  Making ERP research more transparent: Guidelines for preregistration

Paul, M., Govaart, G., & Schettino, A. (2021). Making ERP research more transparent: Guidelines for preregistration. International Journal of Psychophysiology, 164, 52-63. doi:10.1016/j.ijpsycho.2021.02.016.

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 Creators:
Paul, Mariella1, 2, 3, Author              
Govaart, Gisela1, 2, 4, Author              
Schettino, Antonio5, 6, Author
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
3Psychology of Language Department, Georg August University, Germany, ou_persistent22              
4Einstein Center for Neurosciences Berlin (ECN), Germany, ou_persistent22              
5Erasmus University Rotterdam, the Netherlands, ou_persistent22              
6Institute for Globally Distributed Open Research and Education (IGDORE), Sweden, ou_persistent22              

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Free keywords: EEG; ERP; Open science; Preregistration
 Abstract: A combination of confirmation bias, hindsight bias, and pressure to publish may prompt the (unconscious) exploration of various methodological options and reporting only the ones that lead to a (statistically) significant outcome. This undisclosed analytic flexibility is particularly relevant in EEG research, where a myriad of preprocessing and analysis pipelines can be used to extract information from complex multidimensional data. One solution to limit confirmation and hindsight bias by disclosing analytic choices is preregistration: researchers write a time-stamped, publicly accessible research plan with hypotheses, data collection plan, and the intended preprocessing and statistical analyses before the start of a research project. In this manuscript, we present an overview of the problems associated with undisclosed analytic flexibility, discuss why and how EEG researchers would benefit from adopting preregistration, provide guidelines and examples on how to preregister data preprocessing and analysis steps in typical ERP studies, and conclude by discussing possibilities and limitations of this open science practice.

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Language(s): eng - English
 Dates: 2021-02-172020-10-312021-02-182021-03-042021-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.ijpsycho.2021.02.016
Other: epub 2021
PMID: 33676957
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Title: International Journal of Psychophysiology
  Other : Int. J. Psychophysiol.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 164 Sequence Number: - Start / End Page: 52 - 63 Identifier: ISSN: 0167-8760
CoNE: https://pure.mpg.de/cone/journals/resource/954925484686