90,528 responses from 398 respondents to 96 items.
One of 6 tables from the same source; this one is the hexaco_other table. The others are listed under Related tables.
| Description | 96-item HEXACO facet other-rating items by up to 3 colleague raters, self/other/meta-perception personality burnout study, Dutch working adults |
|---|---|
| Reference | de Vries A, et al. (2022) Self-, other-, and meta-perceptions of personality: Relations with burnout symptoms and eudaimonic workplace well-being. PLOS ONE |
| DOI | 10.1371/journal.pone.0272095 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272095.s007&type=supplementary |
| Responses | 90,528 |
|---|---|
| Respondents | 398 |
| Items | 96 |
| Response categories | 5 |
| Responses per respondent | 227.457 |
| Responses per item | 943 |
| Density | 2.369 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
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.
| 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 |
rater | IRW standard Observer identifier in scenarios where items are rated by an external observer rather than self-reported. | made in the build script |
resp | IRW 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.
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("de_vries_2022_hexaco_other")
# Python
pip install irw
import irw
df = irw.fetch("de_vries_2022_hexaco_other")
@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} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |