nordhoff_2021_safety
664 responses from 112 respondents to 6 items.
About this table
| Description | 6-item perceived-safety scale (1-5 Likert), raw items, from the same SAE Level 2 automated-car survey |
| Reference | Nordhoff S, et al. (2021) Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire. PLoS ONE. |
| DOI | 10.1371/journal.pone.0260953 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0260953.s001 |
Size and shape
| Responses | 664 |
| Respondents | 112 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 5.929 |
| Responses per item | 110.667 |
| Density | 0.988 |
| Longitudinal | FALSE |
Classification
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Perceived safety items, online questionnaire on SAE Level 2 partially automated cars (Nordhoff et al., 2021) |
| Mean words per item | 8.667 |
| Mean characters per item | 41.167 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 2.994 |
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nordhoff_2021_safety")
# Python
pip install irw
import irw
df = irw.fetch("nordhoff_2021_safety")
Version and provenance
| IRW version | v393 |
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |