lys_2020_rape_3_diff

5,031 responses from 433 respondents to 13 items.

About this table

DescriptionGender differences ratings measuring biological and cultural origins of differences between men and women 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

Responses5,031
Respondents433
Items13
Response categories7
Responses per respondent11.619
Responses per item387
Density0.894
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 nameGender Differences

Item text

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

InstrumentBeliefs in Origins of Gender Differences Questionnaire (Studzinska & Wojciszke 2014)
Mean words per item13.923
Mean characters per item86
Mean characters per response2
Flesch-Kincaid grade level9.528

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_diff")
# Python
pip install irw

import irw
df = irw.fetch("lys_2020_rape_3_diff")

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