The Confidence Database

Dobromir Rahnev (), Kobe Desender, Alan L. F. Lee, William T. Adler, David Aguilar-Lleyda, Başak Akdoğan, Polina Arbuzova, Lauren Y. Atlas, Fuat Balcı, Ji Won Bang, Indrit Bègue, Damian P. Birney, Timothy F. Brady, Joshua Calder-Travis, Andrey Chetverikov, Torin K. Clark, Karen Davranche, Rachel N. Denison, Troy C. Dildine, Kit S. Double, Yalçın A. Duyan, Nathan Faivre, Kaitlyn Fallow, Elisa Filevich, Thibault Gajdos, Regan M. Gallagher, Vincent Gardelle, Sabina Gherman, Nadia Haddara, Marine Hainguerlot, Tzu-Yu Hsu, Xiao Hu, Iñaki Iturrate, Matt Jaquiery, Justin Kantner, Marcin Koculak, Mahiko Konishi, Christina Koß, Peter D. Kvam, Sze Chai Kwok, Mael Lebreton, Karolina M. Lempert, Chien Ming Lo, Liang Luo, Brian Maniscalco, Antonio Martin, Sébastien Massoni, Julian Matthews, Audrey Mazancieux, Daniel M. Merfeld, Denis O’Hora, Eleanor R. Palser, Borysław Paulewicz, Michael Pereira, Caroline Peters, Marios G. Philiastides, Gerit Pfuhl, Fernanda Prieto, Manuel Rausch, Samuel Recht, Gabriel Reyes, Marion Rouault, Jérôme Sackur, Saeedeh Sadeghi, Jason Samaha, Tricia X. F. Seow, Medha Shekhar, Maxine T. Sherman, Marta Siedlecka, Zuzanna Skóra, Song Chen, David Soto, Sai Sun, Jeroen J. A. van Boxtel, Shuo Wang, Christoph T. Weidemann, Gabriel Weindel, Michał Wierzchoń, Xinming Xu, Qun Ye, Jiwon Yeon, Futing Zou and Ariel Zylberberg
Additional contact information
Dobromir Rahnev: Georgia Institute of Technology
Kobe Desender: University Medical Center Hamburg-Eppendorf
Alan L. F. Lee: Lingnan University
William T. Adler: New York University
David Aguilar-Lleyda: CNRS & Université Paris 1 Panthéon-Sorbonne
Başak Akdoğan: Columbia University
Polina Arbuzova: Bernstein Center for Computational Neuroscience
Lauren Y. Atlas: National Institutes of Health
Fuat Balcı: Koç University
Ji Won Bang: New York University (NYU) School of Medicine, NYU Langone Health
Indrit Bègue: University Hospitals of Geneva and University of Geneva
Damian P. Birney: University of Sydney
Timothy F. Brady: University of California, San Diego
Joshua Calder-Travis: University of Oxford
Andrey Chetverikov: Radboud University
Torin K. Clark: University of Colorado
Karen Davranche: Aix Marseille University, CNRS, LPC
Rachel N. Denison: New York University
Troy C. Dildine: National Institutes of Health
Kit S. Double: University of Oxford
Yalçın A. Duyan: Koç University
Nathan Faivre: Université Grenoble Alpes
Kaitlyn Fallow: University of Victoria
Elisa Filevich: Bernstein Center for Computational Neuroscience
Thibault Gajdos: Aix Marseille University, CNRS, LPC
Regan M. Gallagher: University of Queensland
Vincent Gardelle: Paris School of Economics and CNRS
Sabina Gherman: University of Glasgow
Nadia Haddara: Georgia Institute of Technology
Marine Hainguerlot: Erasmus University Rotterdam
Tzu-Yu Hsu: Taipei Medical University
Xiao Hu: Beijing Normal University
Iñaki Iturrate: National Institutes of Health
Matt Jaquiery: University of Oxford
Justin Kantner: California State University
Marcin Koculak: Jagiellonian University
Mahiko Konishi: ENS, PSL University, EHESS, CNRS
Christina Koß: Bernstein Center for Computational Neuroscience
Peter D. Kvam: University of Florida
Sze Chai Kwok: East China Normal University
Karolina M. Lempert: University of Pennsylvania
Chien Ming Lo: Taipei Medical University
Liang Luo: Beijing Normal University
Brian Maniscalco: University of California, Riverside
Antonio Martin: Taipei Medical University
Julian Matthews: Monash University
Audrey Mazancieux: Université Grenoble Alpes
Daniel M. Merfeld: The Ohio State University
Denis O’Hora: National University of Ireland Galway
Eleanor R. Palser: University of California, San Francisco
Borysław Paulewicz: Katowice Faculty of Psychology
Michael Pereira: Ecole Polytechnique Fédérale de Lausanne
Caroline Peters: Bernstein Center for Computational Neuroscience
Marios G. Philiastides: University of Glasgow
Gerit Pfuhl: UiT the Arctic University of Norway
Fernanda Prieto: Universidad del Desarrollo
Manuel Rausch: Catholic University of Eichstätt-Ingolstadt
Samuel Recht: École normale supérieure—PSL University, CNRS
Gabriel Reyes: Universidad del Desarrollo
Marion Rouault: École Normale Supérieure—PSL University, CNRS, EHESS, INSERM
Jérôme Sackur: École Normale Supérieure—PSL University, CNRS, EHESS, INSERM
Saeedeh Sadeghi: Cornell University
Jason Samaha: University of California, Santa Cruz
Tricia X. F. Seow: Trinity College Dublin
Medha Shekhar: Georgia Institute of Technology
Maxine T. Sherman: Sackler Centre for Consciousness Science
Marta Siedlecka: Jagiellonian University
Zuzanna Skóra: Jagiellonian University
David Soto: Basque Center on Cognition, Brain and Language
Sai Sun: California Institute of Technology
Jeroen J. A. van Boxtel: Monash University
Shuo Wang: West Virginia University
Christoph T. Weidemann: Swansea University
Gabriel Weindel: Aix Marseille University, CNRS, LPC
Michał Wierzchoń: Jagiellonian University
Xinming Xu: East China Normal University
Qun Ye: East China Normal University
Jiwon Yeon: Georgia Institute of Technology
Futing Zou: East China Normal University
Ariel Zylberberg: University of Rochester

Nature Human Behaviour, 2020, vol. 4, issue 3, 317-325

Abstract: Abstract Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.

Date: 2020
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Working Paper: The Confidence Database (2020)
Working Paper: The Confidence Database (2020)
Working Paper: The Confidence Database (2020)
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DOI: 10.1038/s41562-019-0813-1

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