5,031 responses from 433 respondents to 13 items.
One of 12 tables from the same source; this one measures Gender Differences. The others are listed under Related tables.
| Description | Gender differences ratings measuring biological and cultural origins of differences between men and women for study 3 of the rape myth acceptance scale paper |
|---|---|
| Reference | Łyś, 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 |
| DOI | 10.1007/s12144-020-01249-3 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/eu4qd/files/osfstorage |
| Responses | 5,031 |
|---|---|
| Respondents | 433 |
| Items | 13 |
| Response categories | 7 |
| Responses per respondent | 11.619 |
| Responses per item | 387 |
| Density | 0.894 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based, Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng, pol |
| construct name | Gender Differences |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Beliefs in Origins of Gender Differences Questionnaire (Studzinska & Wojciszke 2014) |
|---|---|
| Mean words per item | 13.923 |
| Mean characters per item | 86 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 9.528 |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | `var' |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_field | Covariate | field |
cov_field_cat | Covariate | field_cat |
cov_gender | Covariate | gender |
cov_subsample | Covariate | subsample |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# 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")
@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} }
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse v71.0 |
| Redivis dataset DOI | 10.57761/f5n4-k797 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |