6,309 responses from 701 respondents to 9 items.
One of 3 tables from the same source; this one measures Risk perception of distracted driving (9 items). The others are listed under Related tables.
| Description | Perceived risk of nine distracted-driving scenarios (1-4 in the data; the codebook describes a 1-5 scale); N = 701 Italian students aged 18-22; cov_* as for cordellieri_2026_scedd. |
|---|---|
| Reference | Cordellieri, P., Giannini, A. M., & Nori, R. (2026). Data and analysis materials for the Scale of Cognitive and Emotional Distraction in Driving (SCEDD). Zenodo. https://doi.org/10.5281/zenodo.22375285 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/22375285 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 6,309 |
|---|---|
| Respondents | 701 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 9 |
| Responses per item | 701 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Risk perception of distracted driving (9 items) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cordellieri_2026_scedd.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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_crash_concern | Covariate | made in the build script |
cov_crash_risk_perception | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_sample | Covariate | made in the build script |
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("cordellieri_2026_rpodd")
# Python
pip install irw
import irw
df = irw.fetch("cordellieri_2026_rpodd")
@misc{https://doi.org/10.5281/zenodo.22375285,
doi = {10.5281/ZENODO.22375285},
url = {https://zenodo.org/doi/10.5281/zenodo.22375285},
author = {Cordellieri, Pierluigi and Giannini, Anna Maria and Nori, Raffaella and Piccardi, Laura},
title = {Data and analysis materials for the Scale of Cognitive and Emotional Distraction in Driving (SCEDD)},
publisher = {Zenodo},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |