5,174 responses from 398 respondents to 13 items.
One of 5 tables from the same source; this one measures Assessment Time - Self-Control. The others are listed under Related tables.
| Description | Brief Self-Control Scale |
|---|---|
| Reference | Fournier, L., Heeren, A., Baggio, S., Clark, L., Verdejo-Garcia, A., Perales, J., & Billieux, J. (2025, August 20). Data. https://doi.org/10.17605/OSF.IO/6V5QB |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/6v5qb/files/osfstorage |
| Responses | 5,174 |
|---|---|
| Respondents | 398 |
| Items | 13 |
| Response categories | 5 |
| Responses per respondent | 13 |
| Responses per item | 398 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Behavioral, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Assessment Time - Self-Control |
These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.
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.
| 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_country | Covariate | not traced |
cov_gender | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
Respondent uniqueness. 46% of this table’s respondents are alone in their combination of the 3 covariates above — no one else in the table shares it. That is a necessary condition for re-identification and not re-identification itself, and on a sample this size it is largely arithmetic. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("assessment_time_fournier_2025_bscs")
# Python
pip install irw
import irw
df = irw.fetch("assessment_time_fournier_2025_bscs")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch assessment_time_fournier_2025_bscs, clear
@article{https://doi.org/10.17605/osf.io/6v5qb,
doi = {10.17605/OSF.IO/6V5QB},
url = {https://osf.io/6v5qb/},
author = {Verdejo-Garcia, Antonio and Perales, José C. and Fournier, Loïs and Billieux, Joel and Heeren, Alexandre and Clark, Luke and Baggio, Stéphanie},
keywords = {UPPS-P Impulsive Behavior Scale, UPPS-P-20-R, network modeling, psychometrics, structural equation modeling},
title = {Data},
publisher = {OSF},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v674 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v35.0 |
| Redivis dataset DOI | 10.57761/kpjk-f829 |
| Manifest pin for this IRW version | v35.0 |
| Metadata source | irw_meta v59.0 |