adamczyk_2022_ras

8,015 responses from 1,145 respondents to 7 items.

One of 9 tables from the same source; this one is the ras table. The others are listed under Related tables.

About this table

DescriptionRelationship Assessment Scale (RAS; Hendrick 1988), Polish translation by Monfort et al. (2014), 7 items on a 1-5 scale, merged across the paper's three independently recruited samples: the reference sample (733) and validation samples 1 (203) and 2 (209), distinguished by cov_study. 1,145 respondents, 8,015 responses. id is prefixed with the sample because the samples were recruited independently.
ReferenceAdamczyk, K., Kleka, P., & Frydrychowicz, M. (2022). Psychometric functioning, measurement invariance, and external associations of the Relationship Assessment Scale in a sample of Polish adults. Scientific Reports, 12, 22077. https://doi.org/10.1038/s41598-022-26653-6
DOI10.1038/s41598-022-26653-6
LicenceCC BY 4.0
Source datahttps://osf.io/7hv32/

Size and shape

Responses8,015
Respondents1,145
Items7
Response categories5
Responses per respondent7
Responses per item1,145
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, adamczyk_2022_ras.py. 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.made in the build script
Respondent covariates
cov_ageCovariate AgeT1
cov_genderCovariate GenderT1
cov_studyCovariate made in the build script

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 (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("adamczyk_2022_ras")
# Python
pip install irw

import irw
df = irw.fetch("adamczyk_2022_ras")

How to cite

@article{Adamczyk_2022, title={Psychometric functioning, measurement invariance, and external associations of the Relationship Assessment Scale in a sample of Polish Adults}, volume={12}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-022-26653-6}, DOI={10.1038/s41598-022-26653-6}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Adamczyk, Katarzyna and Kleka, Paweł and Frydrychowicz, Monika}, year={2022}, month=Dec }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_6 v5.10
Redivis dataset DOI10.57761/8zbf-t397
Manifest pin for this IRW versionv5.10
Metadata sourceirw_meta v39.0