3,888 rated or chosen profiles from 324 respondents, in up to 6 tasks of 2 profiles varying on 10 attributes.
| Description | Hungarian online-panel respondents chose between two hypothetical COVID-19 vaccines described by ten attributes (origin country, EU authorization, trial phase, side effects, efficacy, doses, cost, availability, transmission). 324 respondents, 6 tasks of 2 profiles, forced choice. |
|---|---|
| Reference | Papp, Z., & Nkansah, G. B. (2023). The political component of COVID-19 vaccine choice: Results from a conjoint experiment. Public Health, 217, 33-40. |
| DOI | 10.1016/j.puhe.2023.01.014 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.21186319 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 324 |
|---|---|
| Rows (one per respondent, task and profile) | 3,888 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 10 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | HU |
| Language shown | hu |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two vaccines would you choose? (paraphrase; do-file: 'The respondent selected the vaccine in a task') [choice, forced] |
|---|
attr_availabilityattr_costattr_dosesattr_efficacyattr_euauthorizationattr_mildattr_originattr_severeattr_transmissionattr_trialphasechoicecov_agecov_educationcov_familycov_gendercov_gotcovidcov_incomecov_polintcov_religioncov_residencycov_riskofcovidcov_vaccinatedcov_vote_sideidprofiletask
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("papp_2023_covid_vaccine_hungary", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("papp_2023_covid_vaccine_hungary", source="conj")
@article{Papp_2023, title={The political component of COVID-19 vaccine choice: Results from a conjoint experiment}, volume={217}, ISSN={0033-3506}, url={http://dx.doi.org/10.1016/j.puhe.2023.01.014}, DOI={10.1016/j.puhe.2023.01.014}, journal={Public Health}, publisher={Elsevier BV}, author={Papp, Zs. and Nkansah, G.B.}, year={2023}, month=Apr, pages={33–40} }
| 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 |