22,575 responses from 1,129 respondents to 20 items.
| Description | Zung Self-Rating Anxiety Scale, 20 items scored 1 (never or rarely) to 4 (most of the time), physicians at two tertiary grade-A hospitals in Heilongjiang Province, China. 22,575 responses from 1,129 respondents on 20 items. |
|---|---|
| Reference | Zhou, J.; Yang, Y.; Qiu, X.; Yang, X.; Pan, H.; Ban, B.; Qiao, Z.; Wang, L.; Wang, W. (2016). Relationship between Anxiety and Burnout among Chinese Physicians: A Moderated Mediation Model. PLOS ONE, 11(8), e0157013. https://doi.org/10.1371/journal.pone.0157013 |
| DOI | 10.1371/journal.pone.0157013 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0157013 |
| Responses | 22,575 |
|---|---|
| Respondents | 1,129 |
| Items | 20 |
| Response categories | 4 |
| Responses per respondent | 19.996 |
| Responses per item | 1128.750 |
| Density | 1.000 |
| Longitudinal | FALSE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Zung Self-Rating Anxiety Scale (SAS) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 14.250 |
| Flesch-Kincaid grade level | -3.400 |
cov_birth_yearcov_educationcov_marital_statuscov_night_shiftcov_professional_titlecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zhou_2016_anxiety")
# Python
pip install irw
import irw
df = irw.fetch("zhou_2016_anxiety")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |