Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. The Confidence Database
 
research article

The Confidence Database

Rahnev, Dobromir
•
Desender, Kobe
•
Lee, Alan L. F.
Show more
February 3, 2020
Nature Human Behaviour

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 ) 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.

  • Details
  • Metrics
Type
research article
DOI
10.1038/s41562-019-0813-1
Web of Science ID

WOS:000510821300001

Author(s)
Rahnev, Dobromir
Desender, Kobe
Lee, Alan L. F.
Adler, William T.
Aguilar-Lleyda, David
Akdogan, Basak
Arbuzova, Polina
Atlas, Lauren Y.
Balci, Fuat
Bang, Ji Won
Show more
Date Issued

2020-02-03

Publisher

NATURE PUBLISHING GROUP

Published in
Nature Human Behaviour
Volume

4

Start page

317

End page

325

Subjects

Psychology, Biological

•

Multidisciplinary Sciences

•

Neurosciences

•

Psychology, Experimental

•

Psychology

•

Science & Technology - Other Topics

•

Neurosciences & Neurology

•

signal-detection

•

choice

•

availability

•

recognition

•

insight

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LNCO  
Available on Infoscience
March 3, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/166924
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés