| Literature DB >> 32015487 |
Dobromir Rahnev1, Kobe Desender2,3, Alan L F Lee4, William T Adler5, David Aguilar-Lleyda6, Başak Akdoğan7, Polina Arbuzova8,9,10, Lauren Y Atlas11,12,13, Fuat Balcı14, Ji Won Bang15, Indrit Bègue16, Damian P Birney17, Timothy F Brady18, Joshua Calder-Travis19, Andrey Chetverikov20, Torin K Clark21, Karen Davranche22, Rachel N Denison23, Troy C Dildine11,24, Kit S Double25, Yalçın A Duyan14, Nathan Faivre26, Kaitlyn Fallow27, Elisa Filevich8,9,10, Thibault Gajdos22, Regan M Gallagher28,29,30, Vincent de Gardelle31, Sabina Gherman32,33, Nadia Haddara34, Marine Hainguerlot35, Tzu-Yu Hsu36, Xiao Hu37, Iñaki Iturrate38, Matt Jaquiery19, Justin Kantner39, Marcin Koculak40, Mahiko Konishi41, Christina Koß8,10, Peter D Kvam42, Sze Chai Kwok43,44,45, Maël Lebreton46, Karolina M Lempert47, Chien Ming Lo36,48, Liang Luo37, Brian Maniscalco49, Antonio Martin36, Sébastien Massoni50, Julian Matthews30,51, Audrey Mazancieux26, Daniel M Merfeld52, Denis O'Hora53, Eleanor R Palser54,55,56, Borysław Paulewicz57, Michael Pereira58, Caroline Peters8,9,10, Marios G Philiastides32, Gerit Pfuhl59, Fernanda Prieto60, Manuel Rausch61, Samuel Recht62, Gabriel Reyes60, Marion Rouault63, Jérôme Sackur63,64, Saeedeh Sadeghi65, Jason Samaha66, Tricia X F Seow67, Medha Shekhar34, Maxine T Sherman68,69, Marta Siedlecka40, Zuzanna Skóra40, Chen Song70, David Soto71,72, Sai Sun73, Jeroen J A van Boxtel30,74, Shuo Wang75, Christoph T Weidemann76, Gabriel Weindel22, Michał Wierzchoń40, Xinming Xu43, Qun Ye43, Jiwon Yeon34, Futing Zou43, Ariel Zylberberg77.
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.Entities:
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Year: 2020 PMID： 32015487 PMCID： PMC7565481 DOI： 10.1038/s41562-019-0813-1
Source DB: PubMed Journal: Nat Hum Behav ISSN： 2397-3374