hachenberger_2025_gonogo_main

500,200 responses from 69 respondents to 2 items.

One of 8 tables from the same source; this one is the gonogo_main table. The others are listed under Related tables.

About this table

DescriptionGo/No-Go inhibition task (Main Study)
ReferenceHachenberger, J., Mayer, A., Kerkhoff, D. et al. Within-subject reliability, occasion specificity, and validity of fluctuations of the Stroop and go/no-go tasks in ecological momentary assessment. Behav Res 57, 29 (2025).
DOI10.3758/s13428-024-02567-1
LicenceCC BY 4.0
Source datahttps://osf.io/rjbx2/files/osfstorage

Size and shape

Responses500,200
Respondents69
Items2
Response categories2
Responses per respondent7249.275
Responses per item250,100
Density3624.638
LongitudinalTRUE

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
rtIRW standard Response time.not traced
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_beepCovariate not traced
cov_dayCovariate not traced
Other columns
trial_numberNot documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on.not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hachenberger_2025_gonogo_main")
# Python
pip install irw

import irw
df = irw.fetch("hachenberger_2025_gonogo_main")

How to cite

@article{Hachenberger_2024, title={Within-subject reliability, occasion specificity, and validity of fluctuations of the Stroop and go/no-go tasks in ecological momentary assessment}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-024-02567-1}, DOI={10.3758/s13428-024-02567-1}, number={1}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Hachenberger, Justin and Mayer, Axel and Kerkhoff, Denny and Eyssel, Friederike and Fries, Stefan and Lonsdorf, Tina B. and Zech, Hilmar and Deserno, Lorenz and Lemola, Sakari}, year={2024}, month=Dec }

Version and provenance

IRW versionv581
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0