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Cognitive inhibition behavioral tasks in online and laboratory settings: Data from Stroop, SART and Eriksen Flanker tasks

Authors :
Krystian Barzykowski
Michał Wereszczyński
Sabina Hajdas
Rémi Radel
Source :
Data in Brief, Vol 43, Iss , Pp 108398- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

The provided dataset represents the performance of adult individuals in three experimental tasks measuring cognitive inhibition: the Stroop task; the SART task and the Eriksen Flanker task. All tasks were initially completed in a web setting (online) by 485 individuals. Additionally, randomly selected participants completed all these tasks one more time (220 participants) or two more times (100 participants) during separate laboratory session(s) offline. The provided dataset contains data both from the offline and online experimental sessions. For the Stroop and Flanker tasks, we have provided data on mean reaction times for correct answers and the percent of correct answers for both congruent and incongruent trials. For the SART task, we have provided data on the number and the percent of commission and omission errors; the mean correct reaction times in “go” trials; the standard deviations of correct reaction times in “go” trials; the coefficients of variability for correct reaction times in “go” trials; the mean reaction times for successful “go” trials proceeding successful “no-go” trials; and the mean reaction times for correct “go” trials proceeding failed “no-go” trials. Data from both laboratory sessions contains information on the age and gender of participants. Additionally, we have provided the dates and hours of all experimental sessions. This dataset can potentially be reused for exploratory research on cognitive inhibition, i.e., the stability of individual cognitive inhibition capacity over time; intercorrelations of various inhibition task performance measures; individual differences in cognitive inhibition; or the influence of task setting (web vs laboratory) on inhibition performance measured in different settings (web vs laboratory).

Details

Language :
English
ISSN :
23523409
Volume :
43
Issue :
108398-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.5405dcc193c5479399eff725c80e0994
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2022.108398