10,870 responses from 1,087 respondents to 10 items.
One of 4 tables from the same source; this one is the pss10 table. The others are listed under Related tables.
| Description | Perceived Stress Scale (PSS-10) items (1-5); 1087 respondents, 10 items, 10870 responses |
|---|---|
| Reference | Gao, Q., Xu, H., Zhang, C., Huang, D., Zhang, T., & Liu, T. (2022). Perceived stress and stress responses during COVID-19: The multiple mediating roles of coping style and resilience. PLOS ONE, 17(12), e0279071. |
| DOI | 10.1371/journal.pone.0279071 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0279071 |
| Responses | 10,870 |
|---|---|
| Respondents | 1,087 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 1,087 |
| Density | 1 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gao_2022_covid_stress.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 | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | made in the build script |
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 |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_completion_time_s | Covariate | made in the build script |
cov_economic_worry | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_lockdown | Covariate | made in the build script |
cov_occupation | Covariate | 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("gao_2022_pss10")
# Python
pip install irw
import irw
df = irw.fetch("gao_2022_pss10")
@article{Gao_2022, title={Perceived stress and stress responses during COVID-19: The multiple mediating roles of coping style and resilience}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0279071}, DOI={10.1371/journal.pone.0279071}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Gao, Qi and Xu, Huijing and Zhang, Cheng and Huang, Dandan and Zhang, Tao and Liu, Taosheng}, editor={Concerto, Carmen}, year={2022}, month=Dec, pages={e0279071} }
| IRW version | v566 |
|---|---|
| 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 v43.0 |