37,692 responses from 3,141 respondents to 12 items.
One of 4 tables from the same source; this one is the performance_pressure table. The others are listed under Related tables.
| Description | Performance Pressure scale (12 items), Dutch higher-education students, N=3141 |
|---|---|
| Reference | Dopmeijer JM, Schutgens CAE, Kappe FR, Gubbels N, Visscher TLS, Jongen EMM, Bovens RHLM, de Jonge JM, Bos AER, Wiers RW (2022). The role of performance pressure, loneliness and sense of belonging in predicting burnout symptoms in students in higher education. PLOS ONE, 17(12), e0267175. https://doi.org/10.1371/journal.pone.0267175 |
| DOI | 10.1371/journal.pone.0267175 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0267175.s001 |
| Responses | 37,692 |
|---|---|
| Respondents | 3,141 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 3,141 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Performance pressure items (study-developed; Study Environment, Health and Study Success survey), 12 items |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 26.600 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dopmeijer_2022_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 |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_faculty | Covariate | Faculty |
cov_gender | Covariate | Gender |
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("dopmeijer_2022_performance_pressure")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("dopmeijer_2022_performance_pressure")
@article{Dopmeijer_2022, title={The role of performance pressure, loneliness and sense of belonging in predicting burnout symptoms in students in higher education}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0267175}, DOI={10.1371/journal.pone.0267175}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Dopmeijer, Jolien M. and Schutgens, Christine A. E. and Kappe, F. Rutger and Gubbels, Nikkie and Visscher, Tommy L. S. and Jongen, Ellen M. M. and Bovens, Rob H. L. M. and de Jonge, Jannet M. and Bos, Arjan E. R. and Wiers, Reinout W.}, editor={Useche, Sergio A.}, year={2022}, month=Dec, pages={e0267175} }
| 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 |