sleboda_2021_risk_benefit

258,240 responses from 3,228 respondents to 80 items.

About this table

Description80-item risk/benefit perception battery (5 hazard domains x 16 semantic-differential dimensions)
ReferenceSleboda P, Lagerkvist CJ (2021). The inverse relation between risks and benefits: The impact of individual differences in information processing style. PLOS ONE, 16(8), e0255569. https://doi.org/10.1371/journal.pone.0255569
DOI10.1371/journal.pone.0255569
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0255569.s001

Size and shape

Responses258,240
Respondents3,228
Items80
Response categories11
Responses per respondent80
Responses per item3,228
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)swe

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument16-item risk questionnaire (Savadori, Savio, Nicotra, Rumiati, Finucane & Slovic, 2004), Swedish translation, adapted to five technologies
Mean words per item1
Mean characters per item2
Mean characters per response4.775
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_educationcov_gendercov_incomecov_locationiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sleboda_2021_risk_benefit")
# Python
pip install irw

import irw
df = irw.fetch("sleboda_2021_risk_benefit")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0