13,982 rated or chosen profiles from 1,749 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.
One of 3 tables from the same source; this one is the covax_agreement_lucid table. The others are listed under Related tables.
| Description | Paired conjoint on international COVID-19 vaccine agreements: 1,749 US adults (Lucid, April 2021) chose which of two agreements the US should join in 4 pairs varying participating countries, household cost, cost and benefit distribution, external supply deals, technology sharing and monitoring, and rated their likelihood of voting for 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 | 1,749 |
|---|---|
| Rows (one per respondent, task and profile) | 13,982 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | health covid, international economy |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two agreements do you prefer? [choice, forced] |
|---|---|
| rating | If you could vote on each of these agreements, how likely is it that you would vote in favor or against each of the agreements? Please give your answer on the following scale from definitely against (1) to definitely in favor (7). [rating, 1 (definitely against) to 7 (definitely in favor)] |
attr_benefit_distributionattr_cost_distributionattr_external_supplyattr_household_costattr_monitoringattr_participantsattr_tech_sharingchoicecov_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_covax_agreement_lucid", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("nair_2022_covax_agreement_lucid", 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 |