crspolish_wiesyk_2024_lie

17,376 responses from 783 respondents to 12 items.

One of 4 tables from the same source; this one measures Lie Scale. The others are listed under Related tables.

About this table

DescriptionThe Lie Scale is a scale for dissimulation designed to measure social desirability, i.e. the tendency to answer in a socially acceptable way.
ReferenceWięsyk, S., Wojtasiński, M., Tużnik, P., Lachowska, B., Feinberg, M. E., & Favez, N. (2024). Polish Adaptation of the Coparenting Relationship Scale: A Self-Report Measure Used to Assess Subjective Quality of the Relationship Between Parents. European Journal of Psychological Assessment, 0(0). https://doi.org/10.1027/1015-5759/a000825
DOI10.1027/1015-5759/a000825
LicenceCC BY-NC 4.0
Source datahttps://pasa.psycharchives.org/reviewonly/0dad3d5fd118f5a1e169ac432b08339c257d24629b8cbfe0ebc9ffe041eb5b54

Size and shape

Responses17,376
Respondents783
Items12
Response categories2
Responses per respondent22.192
Responses per item1,448
Density1.849
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol
construct nameLie Scale

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_countryCovariate not traced
cov_sexCovariate not traced

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

Get the data

Licence: CC BY-NC 4.0 — non-commercial use only.

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("crspolish_wiesyk_2024_lie")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("crspolish_wiesyk_2024_lie")

How to cite

@article{Wi_syk_2024, title={Polish Adaptation of the Coparenting Relationship 					Scale: A Self-Report Measure Used to Assess Subjective Quality of the 					Relationship Between Parents}, ISSN={2151-2426}, url={http://dx.doi.org/10.1027/1015-5759/a000825}, DOI={10.1027/1015-5759/a000825}, journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing Group}, author={Więsyk, Sabina and Wojtasiński, Marcin and Tużnik, Przemysław and Lachowska, Bogusława and Feinberg, Mark E. and Favez, Nicolas}, year={2024}, month=apr }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v37.0