17,404 rated or chosen profiles from 1,747 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.
One of 3 tables from the same source; this one is the vaccine_recipients table. The others are listed under Related tables.
| Description | Paired conjoint on COVID-19 vaccine priority: 1,747 US adults (Lucid, April 2021) chose which of two people waiting for a vaccine should get priority, in up to 5 pairs varying sex, age group, exposure and illness risk, occupation, working from home and country of origin, and rated each 1-7. |
|---|---|
| Reference | Nair, G., & Peyton, K. (2022). Building mass support for global pandemic recovery efforts in the United States. PNAS Nexus, 1(4), pgac123. |
| DOI | 10.1093/pnasnexus/pgac123 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/FYYJD9 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,747 |
|---|---|
| Rows (one per respondent, task and profile) | 17,404 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | If you had to choose between them, which of these two people should be given priority to receive the vaccine? [choice, forced] |
|---|---|
| rating | Please rate each person on a scale from 1 to 7, where 1 indicates they should definitely not receive the vaccine and 7 indicates they should definitely receive the vaccine. [rating, 1 (they should definitely not receive the vaccine) to 7 (they should definitely receive the vaccine)] |
attr_age_groupattr_countryattr_exposure_riskattr_illness_riskattr_occupationattr_sexattr_work_from_homechoicecov_agecov_altruism_donatecov_altruism_willingcov_attention_passcov_conjoint_firstcov_cosmopolitanismcov_covid_vaccinatedcov_educationcov_ethnicitycov_gendercov_hispanic_origincov_ideology7cov_incomecov_nationalismcov_party_id7cov_political_attentioncov_racecov_recip_neg_othcov_recip_neg_owncov_recip_neg_revcov_recip_pos_favcov_recip_pos_giftcov_regioncov_survey_weightcov_vnat_1cov_vnat_2cov_vnat_3cov_vnat_4cov_vnat_5idprofileratingtask
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("nair_2022_vaccine_recipients", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("nair_2022_vaccine_recipients", source="conj")
@article{Nair_2022, title={Building mass support for global pandemic recovery efforts in the United States}, volume={1}, ISSN={2752-6542}, url={http://dx.doi.org/10.1093/pnasnexus/pgac123}, DOI={10.1093/pnasnexus/pgac123}, number={4}, journal={PNAS Nexus}, publisher={Oxford University Press (OUP)}, author={Nair, Gautam and Peyton, Kyle}, editor={Nelson, Karen E}, year={2022}, month=Aug }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |