Work

The Confidence Database

Year: 2020
Type: article
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.
Institutions: Georgia Institute of Technology, Ghent University, University Medical Center Hamburg-Eppendorf, Lingnan University, New York University, Centre National de la Recherche Scientifique, Centre d'Économie de la Sorbonne, Université Paris 1 Panthéon-Sorbonne, Columbia University, Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience Berlin, National Institutes of Health, National Institute on Drug Abuse, National Center for Complementary and Integrative Health, National Institute of Mental Health, Koç University, NYU Langone Health, University of Geneva, University Hospital of Geneva, The University of Sydney, University of California San Diego, University of Oxford, Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, University of Colorado Boulder, Aix-Marseille Université, Karolinska Institutet, Laboratoire de Psychologie et NeuroCognition, Université Grenoble Alpes, University of Victoria, The University of Queensland, Monash University, Vrije Universiteit Amsterdam, Paris School of Economics, Feinstein Institute for Medical Research, University of Glasgow, Erasmus University Rotterdam, Taipei Medical University, Beijing Normal University, National Institute of Neurological Disorders and Stroke, California State University, Northridge, Jagiellonian University, Université Paris Sciences et Lettres, École Normale Supérieure - PSL, Laboratoire de Sciences Cognitives et Psycholinguistique, École des hautes études en sciences sociales, University of Florida, New York University Shanghai, East China Normal University, University of Pennsylvania, Taipei Medical University-Shuang Ho Hospital, University of California, Riverside, Bureau d'Economie Théorique et Appliquée, Université de Strasbourg, Université de Lorraine, The Ohio State University, Ollscoil na Gaillimhe – University of Galway, University of California, San Francisco, UCL Queen Square Institute of Neurology, University College London, Uniwersytet SWPS, École Polytechnique Fédérale de Lausanne, UiT The Arctic University of Norway, Universidad del Desarrollo, Catholic University of Eichstätt-Ingolstadt, Laboratoire des Systèmes Perceptifs, Inserm, École Polytechnique, Cornell University, University of California, Santa Cruz, Trinity College Dublin, Brighton and Sussex Medical School, University of Sussex, Cardiff University, Ikerbasque, Basque Center on Cognition, Brain and Language, California Institute of Technology, University of Canberra, West Virginia University, Swansea University, University of Rochester
Language: English
Open Access status: hybrid
Estimated APC paid: $12,690
OpenAlex ID: W3003585144
FWCI: 10.51
Cites: 44
Cited by: 156
Related to: 10