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The Confidence Database

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The Confidence Database2020.pdf (1.068Mb)
Date
2020
Author
Rahnev, Dobromir
Desender, Kobe
Lee, Alan L. F.
Adler, William T.
Aguilar-Lleyda, David
Akdoğan, Başak
Arbuzova, Polina
Atlas, Lauren Y.
Balcı, Fuat
Bang, Ji Won
Bègue, Indrit
Birney, Damian P.
Brady, Timothy F.
Calder-Travis, Joshua
Chetverikov, Andrey
Clark, Torin K.
Davranche, Karen
Denison, Rachel N.
Dildine, Troy C.
Double, Kit S.
Duyan, Yalçın A.
Faivre, Nathan
Fallow, Kaitlyn
Filevich, Elisa
Gajdos, Thibault
Gallagher, Regan M.
de Gardelle, Vincent
Gherman, Sabina
Haddara, Nadia
Hainguerlot, Marine
Hsu, Tzu-Yu
Hu, Xiao
Iturrate, Iñaki
Jaquiery, Matt
Kantner, Justin
Koculak, Marcin
Konishi, Mahiko
Koß, Christina
Kvam, Peter D.
Kwok, Sze Chai
Lebreton, Maël
Lempert, Karolina M.
Lo, Chien Ming
Luo, Liang
Maniscalco, Brian
Martin, Antonio
Massoni, Sébastien
Matthews, Julian
Mazancieux, Audrey
Merfeld, Daniel M.
O’Hora, Denis
Palser, Eleanor R.
Paulewicz, Borysław
Pereira, Michael
Peters, Caroline
Philiastides, Marios G.
Pfuhl, Gerit
Prieto, Fernanda
Rausch, Manuel
Recht, Samuel
Reyes, Gabriel
Rouault, Marion
Sackur, Jérôme
Sadeghi, Saeedeh
Samaha, Jason
Seow, Tricia X. F.
Shekhar, Medha
Sherman, Maxine T.
Siedlecka, Marta
Skóra, Zuzanna
Song, Chen
Soto, David ORCID
Sun, Sai
van Boxtel, Jeroen J. A.
Wang, Shuo
Weidemann, Christoph T.
Weindel, Gabriel
Wierzchoń, Michał
Xu, Xinming
Ye, Qun
Yeon, Jiwon
Zou, Futing
Zylberberg, Ariel
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Rahnev, D., Desender, K., Lee, A.L.F. et al. The Confidence Database. Nat Hum Behav 4, 317–325 (2020). https://doi.org/10.1038/s41562-019-0813-1
URI
http://hdl.handle.net/10810/43032
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.
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