4,022 rated or chosen profiles from 4,022 respondents, in up to 1 tasks of 1 profile varying on 5 attributes.
| Description | German respondents (Respondi online panel, May 2021) each read one vignette describing a hypothetical country in need of vaccines, with five randomized attributes (political system, proximity, Covid policy, medical situation, EU herd immunity), after a randomized information treatment, and rated their support for sending vaccines (1-7). n = 4,022. |
|---|---|
| Reference | Leuffen, D., Mounchid, P. M., Heermann, M., & Koos, S. (2023). Mobilizing domestic support for international vaccine solidarity: Recommendations for health crisis communication. npj Vaccines, 8, 28. |
| DOI | 10.1038/s41541-023-00625-x |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/6KJHSN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 4,022 |
|---|---|
| Rows (one per respondent, task and profile) | 4,022 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 5 |
| Topic | health covid, international economy, foreign policy security |
|---|---|
| A profile represents | place |
| Country | DE |
| Language shown | de |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | Whether they would support sending vaccines to this country: 'I do not support at all' to 'I fully support' (paraphrase) [rating, 1 (I do not support at all) to 7 (I fully support)] |
|---|
attr_covid_policyattr_geographic_proximityattr_herd_immunity_euattr_medical_situationattr_political_systemcov_agecov_altruismcov_birth_yearcov_education_groupcov_gendercov_leftright_codecov_survey_weightidprofileratingtasktrial_info_treatment
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("leuffen_2023_vaccine_solidarity", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("leuffen_2023_vaccine_solidarity", source="conj")
@article{Leuffen_2023, title={Mobilizing domestic support for international vaccine solidarity – recommendations for health crisis communication}, volume={8}, ISSN={2059-0105}, url={http://dx.doi.org/10.1038/s41541-023-00625-x}, DOI={10.1038/s41541-023-00625-x}, number={1}, journal={npj Vaccines}, publisher={Springer Science and Business Media LLC}, author={Leuffen, Dirk and Mounchid, Pascal Mohamed and Heermann, Max and Koos, Sebastian}, year={2023}, month=Feb }
| 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 |