wiedemann_2021_text_readability

2,057 responses from 344 respondents to 6 items.

About this table

Description6-item semantic-differential rating of text readability/comprehensibility (F11-F16), 7-point bipolar scale. N=344, same sample as wiedemann_2021_risk_perception.
ReferenceWiedemann P, Boerner FU, Freudenstein F (2021) Effects of communicating uncertainty descriptions in hazard identification, risk characterization, and risk protection. PLoS ONE 16(7):e0253762.
DOI10.1371/journal.pone.0253762
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0253762.s007

Size and shape

Responses2,057
Respondents344
Items6
Response categories7
Responses per respondent5.980
Responses per item342.833
Density0.997
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Columns

cov_agecov_conditioncov_factor1cov_factor2cov_gendercov_risk_typeiditemresp

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("wiedemann_2021_text_readability")
# Python
pip install irw

import irw
df = irw.fetch("wiedemann_2021_text_readability")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0