TY  - JOUR
PY  - 2020//
TI  - The Confidence Database
JO  - Nature human behaviour
A1  - Rahnev, Dobromir
A1  - Desender, Kobe
A1  - Lee, Alan L. F.
A1  - Adler, William T.
A1  - Aguilar-Lleyda, David
A1  - Akdoğan, Başak
A1  - Arbuzova, Polina
A1  - Atlas, Lauren Y.
A1  - Balci, Fuat
A1  - Bang, Ji Won
A1  - Bègue, Indrit
A1  - Birney, Damian P.
A1  - Brady, Timothy F.
A1  - Calder-Travis, Joshua
A1  - Chetverikov, Andrey
A1  - Clark, Torin K.
A1  - Davranche, Karen
A1  - Denison, Rachel N.
A1  - Dildine, Troy C.
A1  - Double, Kit S.
A1  - Duyan, Yalçın A.
A1  - Faivre, Nathan
A1  - Fallow, Kaitlyn
A1  - Filevich, Elisa
A1  - Gajdos, Thibault
A1  - Gallagher, Regan M.
A1  - de Gardelle, Vincent
A1  - Gherman, Sabina
A1  - Haddara, Nadia
A1  - Hainguerlot, Marine
A1  - Hsu, Tzu-Yu
A1  - Hu, Xiao
A1  - Iturrate, Iñaki
A1  - Jaquiery, Matt
A1  - Kantner, Justin
A1  - Koculak, Marcin
A1  - Konishi, Mahiko
A1  - Koß, Christina
A1  - Kvam, Peter D.
A1  - Kwok, Sze Chai
A1  - Lebreton, Maël
A1  - Lempert, Karolina M.
A1  - Ming Lo, Chien
A1  - Luo, Liang
A1  - Maniscalco, Brian
A1  - Martin, Antonio
A1  - Massoni, Sébastien
A1  - Matthews, Julian
A1  - Mazancieux, Audrey
A1  - Merfeld, Daniel M.
A1  - O'Hora, Denis
A1  - Palser, Eleanor R.
A1  - Paulewicz, Borysław
A1  - Pereira, Michael
A1  - Peters, Caroline
A1  - Philiastides, Marios G.
A1  - Pfuhl, Gerit
A1  - Prieto, Fernanda
A1  - Rausch, Manuel
A1  - Recht, Samuel
A1  - Reyes, Gabriel
A1  - Rouault, Marion
A1  - Sackur, Jérôme
A1  - Sadeghi, Saeedeh
A1  - Samaha, Jason
A1  - Seow, Tricia X. F.
A1  - Shekhar, Medha
A1  - Sherman, Maxine T.
A1  - Siedlecka, Marta
A1  - Skóra, Zuzanna
A1  - Song, Chen
A1  - Soto, David
A1  - Sun, Sai
A1  - van Boxtel, Jeroen J. A.
A1  - Wang, Shuo
A1  - Weidemann, Christoph T.
A1  - Weindel, Gabriel
A1  - Wierzchoń, Michał
A1  - Xu, Xinming
A1  - Ye, Qun
A1  - Yeon, Jiwon
A1  - Zou, Futing
A1  - Zylberberg, Ariel
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2397-3374
UR  - http://dx.doi.org/10.1038/s41562-019-0813-1
ID  - ref1
ER  -