lys_2020_rape_3_asi

8,313 responses from 433 respondents to 22 items.

About this table

DescriptionAmbivalent Sexism Inventory ratings 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

Responses8,313
Respondents433
Items22
Response categories8
Responses per respondent19.199
Responses per item377.864
Density0.873
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 nameAmbivalent Sexism Inventory

Item text

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

InstrumentAmbivalent Sexism Inventory ratings for study 3 of the rape myth acceptance scale paper
Mean words per item12.909
Mean characters per item70.909
Mean characters per response16.167
Flesch-Kincaid grade level8.017

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_asi")
# Python
pip install irw

import irw
df = irw.fetch("lys_2020_rape_3_asi")

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