lys_2020_rape_3_unjust

3,927 responses from 433 respondents to 10 items.

About this table

DescriptionUnjust world beliefs measuring the perception of the world as a place where unfair things happen often for study 3 of the rape myth acceptance scale paper
ReferenceŁyś, A.E., Bargiel-Matusiewicz, K., Krasuski, T. et al. Psychometric properties of the polish updated Illinois rape myth acceptance scale. Curr Psychol 42, 445–459 (2023). https://doi.org/10.1007/s12144-020-01249-3
DOI10.1007/s12144-020-01249-3
LicenceCC BY 4.0
Source datahttps://osf.io/eu4qd/files/osfstorage

Size and shape

Responses3,927
Respondents433
Items10
Response categories7
Responses per respondent9.069
Responses per item392.700
Density0.907
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based, Targeted/specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng, pol
construct nameUnjust World Beliefs

Item text

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

InstrumentUnjust World Beliefs Scale "What is the world?" (Skrzypinska 2003)
Mean words per item10.159
Mean characters per item60.029
Mean characters per response2
Flesch-Kincaid grade level8.185

Columns

cov_agecov_fieldcov_field_catcov_gendercov_subsampleiditemresp

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("lys_2020_rape_3_unjust")
# Python
pip install irw

import irw
df = irw.fetch("lys_2020_rape_3_unjust")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0