de_vries_2022_hexaco_meta

38,235 responses from 399 respondents to 96 items.

One of 6 tables from the same source; this one is the hexaco_meta table. The others are listed under Related tables.

About this table

Description96-item HEXACO facet meta-perception items (self-rated belief about how others see them), self/other/meta-perception personality burnout study, Dutch working adults
Referencede Vries A, et al. (2022) Self-, other-, and meta-perceptions of personality: Relations with burnout symptoms and eudaimonic workplace well-being. PLOS ONE
DOI10.1371/journal.pone.0272095
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272095.s007&type=supplementary

Size and shape

Responses38,235
Respondents399
Items96
Response categories5
Responses per respondent95.827
Responses per item398.281
Density0.998
LongitudinalFALSE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, de_vries_2022_hexaco.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

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("de_vries_2022_hexaco_meta")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("de_vries_2022_hexaco_meta")

How to cite

@article{Vries_2022, title={Self-, other-, and meta-perceptions of personality: Relations with burnout symptoms and eudaimonic workplace well-being}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0272095}, DOI={10.1371/journal.pone.0272095}, number={7}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Vries, Anita de and Broks, Vera M. A. and Bloemers, Wim and Kuntze, Jeroen and de Vries, Reinout E.}, editor={Yasui-Furukori, Norio}, year={2022}, month=July, pages={e0272095} }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0