The Confidence Database

authors

  • Rahnev Dobromir
  • Desender Kobe
  • Lee Alan
  • Adler William
  • Aguilar-Lleyda David
  • Akdoğan Başak
  • Arbuzova Polina
  • Atlas Lauren
  • Balcı Fuat
  • Bang Ji Won
  • Bègue Indrit
  • Birney Damian
  • Brady Timothy
  • Calder-Travis Joshua
  • Chetverikov Andrey
  • Clark Torin
  • Davranche Karen
  • Denison Rachel
  • Dildine Troy
  • Double Kit
  • Duyan Yalçın
  • Faivre Nathan
  • Fallow Kaitlyn
  • Filevich Elisa
  • Gajdos Thibault
  • Gallagher Regan
  • 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
  • Kwok Sze Chai
  • Lebreton Maël
  • Lempert Karolina
  • Ming Lo Chien
  • Luo Liang
  • Maniscalco Brian
  • Martin Antonio
  • Massoni Sébastien
  • Matthews Julian
  • Mazancieux Audrey
  • Merfeld Daniel
  • O’hora Denis
  • Palser Eleanor
  • Paulewicz Borysław
  • Pereira Michael
  • Peters Caroline
  • Philiastides Marios
  • Pfuhl Gerit
  • Prieto Fernanda
  • Rausch Manuel
  • Recht Samuel
  • Reyes Gabriel
  • Rouault Marion
  • Sackur Jérôme
  • Sadeghi Saeedeh
  • Samaha Jason
  • Seow Tricia
  • Shekhar Medha
  • Sherman Maxine
  • Siedlecka Marta
  • Skóra Zuzanna
  • Song Chen
  • Soto David
  • Sun Sai
  • van Boxtel Jeroen
  • Wang Shuo
  • Weidemann Christoph
  • Weindel Gabriel
  • Wierzchoń Michał
  • Xu Xinming
  • Ye Qun
  • Yeon Jiwon
  • Zou Futing
  • Zylberberg Ariel

document type

ART

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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