5,065 responses from 539 respondents to 10 items.
One of 4 tables from the same source; this one is the burnout table. The others are listed under Related tables.
| Description | 10-item burnout frequency scale (Copenhagen Burnout Inventory-style wording), first-year medical students, N=539 |
|---|---|
| Reference | Jordan RK, Shah SS, Desai H, Tripi J, Mitchell A, Worth RG (2020). Variation of stress levels, burnout, and resilience throughout the academic year in first-year medical students. PLOS ONE, 15(10), e0240667. https://doi.org/10.1371/journal.pone.0240667 |
| DOI | 10.1371/journal.pone.0240667 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0240667.s001 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 5,065 |
|---|---|
| Respondents | 539 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.397 |
| Responses per item | 506.500 |
| Density | 0.940 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Copenhagen Burnout Inventory (personal burnout items and four work-related burnout items, school/work adaptation) |
|---|---|
| Mean words per item | 9.400 |
| Mean characters per item | 50.200 |
| Mean characters per response | 8.800 |
| Flesch-Kincaid grade level | 4.737 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, jordan_2020_stress_burnout_battery.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jordan_2020_burnout")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("jordan_2020_burnout")
@article{Jordan_2020, title={Variation of stress levels, burnout, and resilience throughout the academic year in first-year medical students}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0240667}, DOI={10.1371/journal.pone.0240667}, number={10}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Jordan, Richard K. and Shah, Shivam S. and Desai, Harsh and Tripi, Jennifer and Mitchell, Anthony and Worth, Randall G.}, editor={Hashimoto, Kenji}, year={2020}, month=Oct, pages={e0240667} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |