The Confidence Database
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The Confidence Database. / Rahnev, Dobromir; Desender, Kobe; Lee, Alan L F; Adler, William T; Aguilar-Lleyda, David; Akdoğan, Başak; Arbuzova, Polina; Atlas, Lauren Y; Balcı, Fuat; Bang, Ji Won; Bègue, Indrit; Birney, Damian P; Brady, Timothy F; Calder-Travis, Joshua; Chetverikov, Andrey; Clark, Torin K; Davranche, Karen; Denison, Rachel N; Dildine, Troy C; Double, Kit S; Duyan, Yalçın A; Faivre, Nathan; Fallow, Kaitlyn; Filevich, Elisa; Gajdos, Thibault; Gallagher, Regan M; 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 D; Kwok, Sze Chai; Lebreton, Maël; Lempert, Karolina M; Ming Lo, Chien; Luo, Liang; Maniscalco, Brian; Martin, Antonio; Massoni, Sébastien; Matthews, Julian; Mazancieux, Audrey; Merfeld, Daniel M; O'Hora, Denis; Palser, Eleanor R; Paulewicz, Borysław; Pereira, Michael; Peters, Caroline; Philiastides, Marios G; Pfuhl, Gerit; Prieto, Fernanda; Rausch, Manuel; Recht, Samuel; Reyes, Gabriel; Rouault, Marion; Sackur, Jérôme; Sadeghi, Saeedeh; Samaha, Jason; Seow, Tricia X F; Shekhar, Medha; Sherman, Maxine T; Siedlecka, Marta; Skóra, Zuzanna; Song, Chen; Soto, David; Sun, Sai; van Boxtel, Jeroen J A; Wang, Shuo; Weidemann, Christoph T; Weindel, Gabriel; Wierzchoń, Michał; Xu, Xinming; Ye, Qun; Yeon, Jiwon; Zou, Futing; Zylberberg, Ariel.
In: NAT HUM BEHAV, Vol. 4, No. 3, 03.2020, p. 317-325.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - The Confidence Database
AU - Rahnev, Dobromir
AU - Desender, Kobe
AU - Lee, Alan L F
AU - Adler, William T
AU - Aguilar-Lleyda, David
AU - Akdoğan, Başak
AU - Arbuzova, Polina
AU - Atlas, Lauren Y
AU - Balcı, Fuat
AU - Bang, Ji Won
AU - Bègue, Indrit
AU - Birney, Damian P
AU - Brady, Timothy F
AU - Calder-Travis, Joshua
AU - Chetverikov, Andrey
AU - Clark, Torin K
AU - Davranche, Karen
AU - Denison, Rachel N
AU - Dildine, Troy C
AU - Double, Kit S
AU - Duyan, Yalçın A
AU - Faivre, Nathan
AU - Fallow, Kaitlyn
AU - Filevich, Elisa
AU - Gajdos, Thibault
AU - Gallagher, Regan M
AU - de Gardelle, Vincent
AU - Gherman, Sabina
AU - Haddara, Nadia
AU - Hainguerlot, Marine
AU - Hsu, Tzu-Yu
AU - Hu, Xiao
AU - Iturrate, Iñaki
AU - Jaquiery, Matt
AU - Kantner, Justin
AU - Koculak, Marcin
AU - Konishi, Mahiko
AU - Koß, Christina
AU - Kvam, Peter D
AU - Kwok, Sze Chai
AU - Lebreton, Maël
AU - Lempert, Karolina M
AU - Ming Lo, Chien
AU - Luo, Liang
AU - Maniscalco, Brian
AU - Martin, Antonio
AU - Massoni, Sébastien
AU - Matthews, Julian
AU - Mazancieux, Audrey
AU - Merfeld, Daniel M
AU - O'Hora, Denis
AU - Palser, Eleanor R
AU - Paulewicz, Borysław
AU - Pereira, Michael
AU - Peters, Caroline
AU - Philiastides, Marios G
AU - Pfuhl, Gerit
AU - Prieto, Fernanda
AU - Rausch, Manuel
AU - Recht, Samuel
AU - Reyes, Gabriel
AU - Rouault, Marion
AU - Sackur, Jérôme
AU - Sadeghi, Saeedeh
AU - Samaha, Jason
AU - Seow, Tricia X F
AU - Shekhar, Medha
AU - Sherman, Maxine T
AU - Siedlecka, Marta
AU - Skóra, Zuzanna
AU - Song, Chen
AU - Soto, David
AU - Sun, Sai
AU - van Boxtel, Jeroen J A
AU - Wang, Shuo
AU - Weidemann, Christoph T
AU - Weindel, Gabriel
AU - Wierzchoń, Michał
AU - Xu, Xinming
AU - Ye, Qun
AU - Yeon, Jiwon
AU - Zou, Futing
AU - Zylberberg, Ariel
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - Adult
KW - Choice Behavior/physiology
KW - Databases, Factual/statistics & numerical data
KW - Datasets as Topic/statistics & numerical data
KW - Humans
KW - Mental Processes/physiology
KW - Metacognition/physiology
KW - Psychometrics/instrumentation
KW - Reaction Time/physiology
KW - Task Performance and Analysis
U2 - 10.1038/s41562-019-0813-1
DO - 10.1038/s41562-019-0813-1
M3 - SCORING: Journal article
C2 - 32015487
VL - 4
SP - 317
EP - 325
JO - NAT HUM BEHAV
JF - NAT HUM BEHAV
SN - 2397-3374
IS - 3
ER -
