14,700 responses from 422 respondents to 15 items.
One of 3 tables from the same source; this one measures Coach Burnout Questionnaire (CBQ). The others are listed under Related tables.
| Description | Coach Burnout Questionnaire (Harris et al. 2005), 15 items, 1-5, 422 sports coaches (Switzerland), three waves (baseline, 3 and 6 months; wave 1-3); no covariates (demographics withheld by the authors). |
|---|---|
| Reference | Ackeret, N., Rothlin, P., Allemand, M., Krieger, T., Berger, T., Znoj, H., Kentta, G., Birrer, D., & Horvath, S. (2022). Six-month stability of individual differences in sports coaches' burnout, self-compassion and social support. Psychology of Sport and Exercise, 102207. |
| DOI | 10.1016/j.psychsport.2022.102207 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.5061/dryad.p5hqbzkrk |
| Responses | 14,700 |
|---|---|
| Respondents | 422 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 34.834 |
| Responses per item | 980 |
| Density | 2.322 |
| Longitudinal | TRUE |
| sample | Workplace |
|---|---|
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger, fre |
| construct name | Coach Burnout Questionnaire (CBQ) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ackeret_2022_coach_burnout.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 |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, content.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ackeret_2022_coach_burnout")
# Python
pip install irw
import irw
df = irw.fetch("ackeret_2022_coach_burnout")
@article{Ackeret_2022, title={Six-month stability of individual differences in sports coaches’ burnout, self-compassion and social support}, volume={61}, ISSN={1469-0292}, url={http://dx.doi.org/10.1016/j.psychsport.2022.102207}, DOI={10.1016/j.psychsport.2022.102207}, journal={Psychology of Sport and Exercise}, publisher={Elsevier BV}, author={Ackeret, Nadja and Röthlin, Philipp and Allemand, Mathias and Krieger, Tobias and Berger, Thomas and Znoj, Hansjörg and Kenttä, Göran and Birrer, Daniel and Horvath, Stephan}, year={2022}, month=July, pages={102207} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |