30,436 responses from 1,087 respondents to 28 items.
| Description | Stress Response Questionnaire items (1-5); 1087 respondents, 28 items, 30436 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 | 30,436 |
|---|---|
| Respondents | 1,087 |
| Items | 28 |
| Response categories | 5 |
| Responses per respondent | 28 |
| 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 |
cov_agecov_completion_time_scov_economic_worrycov_gendercov_lockdowncov_occupationdateiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gao_2022_stress_response")
# Python
pip install irw
import irw
df = irw.fetch("gao_2022_stress_response")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |