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[journal article]

dc.contributor.authorPaul, Katharinade
dc.contributor.authorShort, Cassie Annde
dc.contributor.authorBeauducel, Andréde
dc.contributor.authorCarsten, Hannes Perde
dc.contributor.authorHärpfer, Kaide
dc.contributor.authorHennig, Jürgende
dc.contributor.authorHewig, Johannesde
dc.contributor.authorHildebrandt, Andreade
dc.contributor.authorKührt, Corinnade
dc.contributor.authorMueller, Erik Maltede
dc.contributor.authorMunk, Aishade
dc.contributor.authorOsinsky, Romande
dc.contributor.authorPorth, Elisade
dc.contributor.authorRiesel, Anjade
dc.contributor.authorRodrigues, Johannesde
dc.contributor.authorScheffel, Christophde
dc.contributor.authorStahl, Juttade
dc.contributor.authorStrobel, Alexanderde
dc.contributor.authorWacker, Jande
dc.date.accessioned2024-04-29T10:42:09Z
dc.date.available2024-04-29T10:42:09Z
dc.date.issued2022de
dc.identifier.issn2700-0710de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/93912
dc.description.abstractDespite a plethora of research, associations between individual differences in personality and electroencephalogram (EEG) parameters remain poorly understood due to concerns of low replicability and insufficiently powered data analyses due to relatively small effect sizes. The present article describes how a multi-laboratory team of EEG-personality researchers aims to alleviate this unsatisfactory status quo. In particular, the present article outlines the design and methodology of the project, provides a detailed overview of the resulting large-scale dataset that is available for use by future collaborators, and forms the basis for consistency and depth to the methodology of all resulting empirical articles. Through this article, we aim to inform researchers in the field of Personality Neuroscience of the freely available dataset. Furthermore, we assume that researchers will generally benefit from this detailed example of the implementation of cooperative forking paths analysis.de
dc.languageende
dc.subject.ddcPsychologiede
dc.subject.ddcPsychologyen
dc.subject.otherpersonality neuroscience; EEG; replicability; multiverse analysis; cooperative forking paths; ZIS 247; ZIS 219; ZIS 52de
dc.titleThe Methodology and Dataset of the CoScience EEG-Personality Project - A Large-Scale, Multi-Laboratory Project Grounded in Cooperative Forking Paths Analysisde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalPersonality Science
dc.source.volume3de
dc.publisher.countryDEUde
dc.subject.classozPersönlichkeitspsychologiede
dc.subject.classozPersonality Psychologyen
dc.subject.thesozPersönlichkeitspsychologiede
dc.subject.thesozpersonality psychologyen
dc.subject.thesozNeurowissenschaftde
dc.subject.thesozneurosciencesen
dc.subject.thesozMethodikde
dc.subject.thesozmethodologyen
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.identifier.urnurn:nbn:de:0168-ssoar-93912-9
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10054307
internal.identifier.thesoz10083241
internal.identifier.thesoz10052211
internal.identifier.thesoz10034708
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-26de
internal.identifier.classoz10704
internal.identifier.journal2928
internal.identifier.document32
internal.identifier.ddc150
dc.identifier.doihttps://doi.org/10.5964/ps.7177de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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