235,880 responses from 5,897 respondents to 40 items.
| Description | Hamburg Burnout Inventory (40 items, German), physicians, N=5897 |
|---|---|
| Reference | Wurm W, Vogel K, Holl A, Ebner C, Bayer D, Mörkl S, Szilagyi I-S, Hotter E, Kapfhammer H-P, Hofmann P (2016). Depression-Burnout Overlap in Physicians. PLOS ONE, 11(3), e0149913. https://doi.org/10.1371/journal.pone.0149913 |
| DOI | 10.1371/journal.pone.0149913 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0149913.s001 |
| Responses | 235,880 |
|---|---|
| Respondents | 5,897 |
| Items | 40 |
| Response categories | 7 |
| Responses per respondent | 40 |
| Responses per item | 5,897 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
cov_agecov_employmentcov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wurm_2016_hbi")
# Python
pip install irw
import irw
df = irw.fetch("wurm_2016_hbi")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |