nordhoff_2021_trust
1,383 responses from 116 respondents to 12 items.
About this table
| Description | 12-item trust-in-automation scale (1-5 Likert), raw items, from an online survey on SAE Level 2 partially automated cars |
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| Reference | Nordhoff S, et al. (2021) Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0260953 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0260953.s001 |
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Size and shape
| Responses | 1,383 |
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| Respondents | 116 |
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| Items | 12 |
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| Response categories | 5 |
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| Responses per respondent | 11.922 |
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| Responses per item | 115.250 |
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| Density | 0.994 |
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| Longitudinal | FALSE |
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Classification
| sample | Internet-based |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Trust in partially automated cars scale (Nordhoff et al., 2021) |
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| Mean words per item | 13.917 |
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| Mean characters per item | 75.667 |
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| Mean characters per response | 10.200 |
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| Flesch-Kincaid grade level | 8.350 |
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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_trust")
# Python
pip install irw
import irw
df = irw.fetch("nordhoff_2021_trust")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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