F
Frederik Aust
Researcher at University of Cologne
Publications - 25
Citations - 1057
Frederik Aust is an academic researcher from University of Cologne. The author has contributed to research in topics: Bayesian probability & Computer science. The author has an hindex of 8, co-authored 20 publications receiving 691 citations. Previous affiliations of Frederik Aust include University of Düsseldorf & University of Amsterdam.
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Journal ArticleDOI
Many analysts, one dataset: Making transparent how variations in analytical choices affect results
Raphael Silberzahn,Eric Luis Uhlmann,D. P. Martin,Pasquale Anselmi,Frederik Aust,Eli Awtrey,Štěpán Bahník,Feng Bai,Colin Bannard,Evelina Bonnier,Rickard Carlsson,Felix Cheung,G. Christensen,Russ Clay,M. A. Craig,A. Dalla Rosa,Lammertjan Dam,Mathew H. Evans,I. Flores Cervantes,Nathan M. Fong,Monica Gamez-Djokic,A. Glenz,S. Gordon-McKeon,Timothy J Heaton,Karin Hederos,Moritz Heene,A. J. Hofelich Mohr,Fabia Högden,K. Hui,Magnus Johannesson,Jonathan Kalodimos,Erikson Kaszubowski,Deanna M. Kennedy,R. Lei,T. A. Lindsay,Silvia Liverani,Christopher R. Madan,Daniel C. Molden,Eric Molleman,Richard D. Morey,Laetitia B. Mulder,B. R. Nijstad,Nolan G. Pope,Bryson R. Pope,Jason M. Prenoveau,Floor Rink,E. Robusto,H. Roderique,Anna Sandberg,E. Schlüter,Felix D. Schönbrodt,Martin F. Sherman,S. A. Sommer,Kristin Lee Sotak,Seth M. Spain,Christoph Spörlein,Tom Stafford,L. Stefanutti,Susanne Täuber,J. Ullrich,Michelangelo Vianello,Eric-Jan Wagenmakers,M. Witkowiak,S. Yoon,Brian A. Nosek,Brian A. Nosek +65 more
TL;DR: In this paper, 29 teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skinned-players.
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Seriousness checks are useful to improve data validity in online research.
TL;DR: This work recommends routinely employing seriousness checks in online surveys to improve data validity and confirms that serious participants answered a number of attitudinal and behavioral questions in a more consistent and predictively valid manner than did nonserious participants.
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A practical guide for transparency in psychological science
Olivier Klein,Tom E Hardwicke,Frederik Aust,Johannes Breuer,Henrik Danielsson,Alicia Hofelich Mohr,Hans IJzerman,Gustav Nilsonne,Wolf Vanpaemel,Michael C. Frank +9 more
TL;DR: A practical guide to help researchers navigate the process of preparing and sharing the products of their research (e.g., choosing a repository, preparing their research products for sharing, structuring folders, etc.).
Journal ArticleDOI
Evaluative Conditioning as Memory-Based Judgment
Christopher Stahl,Frederik Aust +1 more
TL;DR: This article proposed a view of evaluative conditioning (EC) as resulting from judgments based on learning instances stored in memory, which is based on the formal episodic memory model MINERVA 2.
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A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning
TL;DR: Dissociations between US expectancy and CS evaluation are consistent with a single-process learning model; they reflect different summaries of the learning history.