6,079 responses from 21 respondents to 6 items.
One of 8 tables from the same source; this one is the webexec_pilot table. The others are listed under Related tables.
| Description | WEBEXEC subjective executive-function complaints (Pilot Study, EMA) |
|---|---|
| Reference | Hachenberger, 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). |
| DOI | 10.3758/s13428-024-02567-1 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/rjbx2/files/osfstorage |
| Responses | 6,079 |
|---|---|
| Respondents | 21 |
| Items | 6 |
| Response categories | 101 |
| Responses per respondent | 289.476 |
| Responses per item | 1013.167 |
| Density | 48.246 |
| Longitudinal | TRUE |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hachenberger_2025_stroop.py. 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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_beep | Covariate | Beep |
cov_day | Covariate | Day |
What item codes and covariate values stand for is in the codebook released with the source data.
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_webexec_pilot")
# Python
pip install irw
import irw
df = irw.fetch("hachenberger_2025_webexec_pilot")
@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 }
| IRW version | v581 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |