much_tte_2025_concentrationtask

11,196 responses from 1,244 respondents to 9 items.

About this table

DescriptionAssesses momentary attention and focus using timed visual letter-counting challenges.
ReferenceMuch, S., Mutak, A., Pohl, S., & Ranger, J. (2025). Data From a Validation Study of Two Psychometric Models on Test-taking Behavior. Journal of Open Psychology Data, 13(1).
DOI10.5334/jopd.124
LicenceCC BY 4.0
Source datahttps://osf.io/9j6hm/

Size and shape

Responses11,196
Respondents1,244
Items9
Response categories2
Responses per respondent9
Responses per item1,244
Density1
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameconcentration

Columns

cov_agecov_countrycov_devicecov_educationcov_gendercov_languagegroupiditemraw_resprespwave

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("much_tte_2025_concentrationtask")
# Python
pip install irw

import irw
df = irw.fetch("much_tte_2025_concentrationtask")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0