lys_2020_rape_3_cons

7,978 responses from 433 respondents to 20 items.

One of 12 tables from the same source; this one measures Political Opinion. The others are listed under Related tables.

About this table

DescriptionPolitical Opinion Questionnaire measuring endorsement of right-wing ideology 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

Responses7,978
Respondents433
Items20
Response categories5
Responses per respondent18.425
Responses per item398.900
Density0.921
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 namePolitical Opinion

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lys_2020_rape.do. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.`var'
Respondent covariates
cov_ageCovariate age
cov_fieldCovariate field
cov_field_catCovariate field_cat
cov_genderCovariate gender
cov_subsampleCovariate subsample

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lys_2020_rape_3_cons")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("lys_2020_rape_3_cons")

How to cite

@article{_y__2021, title={Psychometric properties of the polish updated Illinois rape myth acceptance scale}, volume={42}, ISSN={1936-4733}, url={http://dx.doi.org/10.1007/s12144-020-01249-3}, DOI={10.1007/s12144-020-01249-3}, number={1}, journal={Current Psychology}, publisher={Springer Science and Business Media LLC}, author={Łyś, Agnieszka Ewa and Bargiel-Matusiewicz, Kamilla and Krasuski, Tomasz and Studzińska, Anna}, year={2021}, month=feb, pages={445–459} }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v37.0