54,183 responses from 1,129 respondents to 48 items.
| Description | Eysenck Personality Questionnaire-Revised Short Scale for Chinese (EPQ-RSC), 48 forced-choice items scored 0/1, physicians at two tertiary grade-A hospitals in Heilongjiang Province, China. 54,183 responses from 1,129 respondents on 48 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 | 54,183 |
|---|---|
| Respondents | 1,129 |
| Items | 48 |
| Response categories | 2 |
| Responses per respondent | 47.992 |
| Responses per item | 1128.812 |
| Density | 1.000 |
| Longitudinal | FALSE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Eysenck Personality Questionnaire-Revised Short Scale for Chinese (EPQ-RSC) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2 |
| 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_personality")
# Python
pip install irw
import irw
df = irw.fetch("zhou_2016_personality")
| 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 |