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Sökning: WFRF:(Pourtois Gilles) > #EEGManyLabs: Inves...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006973nam a2200961 4500
001oai:hhs.se:1155042050006056
003SwePub
008221125s2024 | |||||||||||000 ||eng|
024a https://research.hhs.se/esploro/outputs/preprint/EEGManyLabs-Investigating-the-Replicability-of-Influential/9910014803418060562 URI
024a https://doi.org/10.31234/osf.io/528nr2 DOI
040 a (SwePub)hhs
041 a engb eng
042 9 SwePub
072 7a ovr2 swepub-publicationtype
072 7a vet2 swepub-contenttype
100a Czeszumski, Arturu University of Osnabrück (DE)4 aut
2451 0a #EEGManyLabs: Investigating the Replicability of Influential EEG Experiments
264 1b Center for Open Science,c 2024
506 a http://creativecommons.org/licenses/by/4.0/
520 a There is growing awareness across the neuroscience community that the replicability of findings on the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardized analysis pipelines. Inspired by efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
700a Dreber Almenberg, Annau Stockholm School of Economics,Handelshögskolan i Stockholm4 aut0 (Swepub:hhs)1274@hhs.se
700a Arvaneh, Mahnazu University of Sheffield4 aut
700a Benwell, Christopheru University of Dundee4 aut
700a Beste, Christianu Dresden University of Technology4 aut
700a Bland, Amyu University of Manchester (GB)4 aut
700a Bradford, Danielu University of Miami4 aut
700a Bublatzky, Florianu University of Heidelberg (DE)4 aut
700a Clayson, Peteru University of South Florida4 aut
700a Cruse, Damianu University of Birmingham (GB)4 aut
700a Dumas, Guillaumeu University of Quebec in Montreal (CA)4 aut
700a Ehinger, Benediktu University of Stuttgart4 aut
700a Giorgio, Ganisu University of Plymouth4 aut
700a Neal, Laurenu University of Texas (US)4 aut
700a Nilsonne, Gustavu Karolinska Institutet (SE)4 aut
700a Niso, Guiomaru Technical University of Madrid4 aut
700a Ocklenburg, Sebastianu Ruhr University Bochum4 aut
700a Verona, Edelynu University of South Florida4 aut
700a Vloeberghs, Robinu Catholic University of Leuven4 aut
700a Welke, Dominiku Max Planck Institute for Empirical Aesthetics4 aut
700a Wessel, Janu University of Iowa4 aut
700a Zakharov, Ilyau Russian Academy of Education4 aut
700a Mushtaq, Faisalu University of Leeds4 aut
700a Kaltwasser, Laurau Humboldt University (DE)4 aut
700a König, Peteru University of Osnabrück (DE)4 aut
700a Kouara, Laylau University of Leeds4 aut
700a Kulke, Louisau University of Erlangen-Nuremberg (DE)4 aut
700a Ladouceur, Cecileu University of Pittsburgh (US)4 aut
700a Langer, Nicolasu University of Zurich (CH)4 aut
700a Oostenveld, Robertu Radboud University (NL)4 aut
700a Pernet, Cyril R.u University of Edinburgh4 aut
700a Pourtois, Gillesu Ghent University4 aut
700a Ruzzoli, Manuelau University of Glasgow4 aut
700a Sass, Sarahu The University of Texas at Tyler4 aut
700a Schaefer, Alexandreu Monash University (AU)4 aut
700a He, Xunu Bournemouth University4 aut
700a Hinojosa, Joséu Complutense University of Madrid4 aut
700a Huber-Huber, Christophu Radboud University (NL)4 aut
700a Inzlicht, Michaelu University of Toronto (CA)4 aut
700a Jack, Bradleyu Australian National University4 aut
700a Johannesson, Magnusu Stockholm School of Economics,Handelshögskolan i Stockholm4 aut0 (Swepub:hhs)198@hhs.se
700a Liesefeld, Heinrichu University Bw Munich (DE)4 aut
700a Luque, Davidu Autonomous University of Madrid4 aut
700a MacNamara, Annmarieu Texas A&M University4 aut
700a Muthuraman, Muthuramanu Johannes Gutenberg University4 aut
700a Senderecka, Magdalenau Jagiellonian University4 aut
700a Snyder, Joel S.u University of Nevada (US)4 aut
700a Tamnes, Christianu University of Oslo (NO)4 aut
700a Tognoli, Emmanuelleu Florida Atlantic University4 aut
700a Jones, Rhiannonu University of Winchester4 aut
700a Kalenkovich, Evgeniiu HSE University4 aut
700a Appelhoff, Stefanu Max Planck Institute for Human Development4 aut
700a Pavlov, Yuriu University of Teubingen4 aut
700a Adamian, Nikau University of Aberdeen4 aut
700a Busch, Niko Au University of Münster4 aut
700a van Vugt, Mariekeu University of Groningen (NL)4 aut
700a Karimi-Rouzbahani, Hamidu University of Cambridge4 aut
710a Handelshögskolan i Stockholmb University of Osnabrück (DE)4 org
856u https://research.hhs.se/esploro/outputs/preprint/EEGManyLabs-Investigating-the-Replicability-of-Influential/991001480341806056x primaryx Object in context
856u http://pure-oai.bham.ac.uk/ws/files/153434195/pavlovy2021eeg.pdf
8564 8u https://research.hhs.se/esploro/outputs/preprint/EEGManyLabs-Investigating-the-Replicability-of-Influential/991001480341806056
8564 8u https://doi.org/10.31234/osf.io/528nr

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