4,040 responses from 404 respondents to 10 items.
One of 2 tables from the same source; this one is the pss table. The others are listed under Related tables.
| Description | Perceived Stress Scale, workplace employees, 10 items, N=412 |
|---|---|
| Reference | Gillman, J. C., et al. (2023). The role of social support and social identification on challenge and threat cognitive appraisals, perceived stress, and life satisfaction in workplace employees. PLOS ONE. |
| DOI | 10.1371/journal.pone.0288563 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288563 |
| Responses | 4,040 |
|---|---|
| Respondents | 404 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 404 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gillman_2023_social_support_appraisals.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). | Part_No |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_sex | Covariate | Sex |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gillman_2023_pss")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("gillman_2023_pss")
@article{Gillman_2023, title={The role of social support and social identification on challenge and threat cognitive appraisals, perceived stress, and life satisfaction in workplace employees}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0288563}, DOI={10.1371/journal.pone.0288563}, number={7}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Gillman, Jamie C. and Turner, Martin J. and Slater, Matthew J.}, editor={Wang, Fang}, year={2023}, month=July, pages={e0288563} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |