4,431 responses from 261 respondents to 17 items.
| Description | 17-item Japanese Burnout Index (1-5 Likert), from a survey of N=261 nurses/care workers in Japan on burnout and religion in end-of-life care. |
|---|---|
| Reference | Okamura T, Shimmei M, Takase A, Toishiba S, Hayashida K, Yumiyama T, et al. (2018) A positive attitude towards provision of end-of-life care may protect against burnout: Burnout and religion in a super-aging society. PLoS ONE. |
| DOI | 10.1371/journal.pone.0202277 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0202277.s001 |
| Responses | 4,431 |
|---|---|
| Respondents | 261 |
| Items | 17 |
| Response categories | 5 |
| Responses per respondent | 16.977 |
| Responses per item | 260.647 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
cov_agecov_experience_yearscov_institutioncov_job_typecov_religioncov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("okamura_2018_burnout")
# Python
pip install irw
import irw
df = irw.fetch("okamura_2018_burnout")
| 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 |