1,248 rated or chosen profiles from 208 respondents, in up to 6 tasks of 1 profile varying on 6 attributes.
| Description | 208 German students each rated 6 text vignettes (one per application purpose) describing a diagnostic self-test, varying seriousness of the situation, test setting, analysis and feedback, expertise of the tested person and emotional support; outcome is the intention to use the test on a 1-100 visual analogue scale. |
|---|---|
| Reference | Kuecuekbalaban, P., Rostalski, T., Schmidt, S., & Muehlan, H. (2017). Psychological, situational and application-related determinants of the intention to self-test: A factorial survey among students. BMC Health Services Research, 17. |
| DOI | 10.1186/s12913-017-2394-x |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.c.3823129 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 208 |
|---|---|
| Rows (one per respondent, task and profile) | 1,248 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 1 |
| Attributes | 6 |
| Topic | health covid |
|---|---|
| A profile represents | scenario |
| Country | DE |
| Language shown | de |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): The analysis/feedback levels are nested in the test setting: at home without a health professional only levels 1-4 occur (automatic analysis with written or professional feedback), with a health professional (at home or in the practice) only the immediately displayed result and the three laboratory levels occur. Level shares are unequal (e.g. seriousness 239-393 of 1,248 vignettes). |
| Task order | unknown |
| Profile position | inferred from row order |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | Would you make use of a test that is conducted as described in the situation above? (translated) [rating, 1 (certainly not) to 100 (most certainly)] |
|---|
attr_analysis_feedbackattr_application_purposeattr_emotional_supportattr_expertise_of_tested_personattr_seriousnessattr_test_settingcov_agecov_educationcov_genderidprofileratingtask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("kuecuekbalaban_2017_selftest", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("kuecuekbalaban_2017_selftest", source="conj")
@article{Kuecuekbalaban_2017, title={Psychological, situational and application-related determinants of the intention to self-test: a factorial survey among students}, volume={17}, ISSN={1472-6963}, url={http://dx.doi.org/10.1186/s12913-017-2394-x}, DOI={10.1186/s12913-017-2394-x}, number={1}, journal={BMC Health Services Research}, publisher={Springer Science and Business Media LLC}, author={Kuecuekbalaban, Pinar and Rostalski, Tim and Schmidt, Silke and Muehlan, Holger}, year={2017}, month=July }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |