The Confidence Database.
Journal Article (Journal Article)
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.
- Rahnev, D; Desender, K; Lee, ALF; Adler, WT; Aguilar-Lleyda, D; Akdoğan, B; Arbuzova, P; Atlas, LY; Balcı, F; Bang, JW; Bègue, I; Birney, DP; Brady, TF; Calder-Travis, J; Chetverikov, A; Clark, TK; Davranche, K; Denison, RN; Dildine, TC; Double, KS; Duyan, YA; Faivre, N; Fallow, K; Filevich, E; Gajdos, T; Gallagher, RM; de Gardelle, V; Gherman, S; Haddara, N; Hainguerlot, M; Hsu, T-Y; Hu, X; Iturrate, I; Jaquiery, M; Kantner, J; Koculak, M; Konishi, M; Koß, C; Kvam, PD; Kwok, SC; Lebreton, M; Lempert, KM; Ming Lo, C; Luo, L; Maniscalco, B; Martin, A; Massoni, S; Matthews, J; Mazancieux, A; Merfeld, DM; O'Hora, D; Palser, ER; Paulewicz, B; Pereira, M; Peters, C; Philiastides, MG; Pfuhl, G; Prieto, F; Rausch, M; Recht, S; Reyes, G; Rouault, M; Sackur, J; Sadeghi, S; Samaha, J; Seow, TXF; Shekhar, M; Sherman, MT; Siedlecka, M; Skóra, Z; Song, C; Soto, D; Sun, S; van Boxtel, JJA; Wang, S; Weidemann, CT; Weindel, G; Wierzchoń, M; Xu, X; Ye, Q; Yeon, J; Zou, F; Zylberberg, A
- March 2020
Volume / Issue
- 4 / 3
Start / End Page
- 317 - 325
Pubmed Central ID
Electronic International Standard Serial Number (EISSN)
International Standard Serial Number (ISSN)
Digital Object Identifier (DOI)