16,757 rated or chosen profiles from 4,204 respondents, in up to 2 tasks of 2 profiles varying on 5 attributes.

One of 3 tables from the same source; this one is the covax_agreement_norc table. The others are listed under Related tables.

About this table

Description	Paired conjoint on international COVID-19 recovery agreements: 4,204 US adults (NORC AmeriSpeak probability panel, Sep-Oct 2021) chose which of two agreements the US should support in 2 pairs varying overall cost, US share, funding use, beneficiaries and duration, and rated their likelihood of voting for each (5-point, deposited rescaled to 0-1).
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

Notes

Conjoint table (irw_conjoint). Two pairs of agreements; choice = 'If you had to choose, which agreement do you favor?' (forced, no opt-out; 277 tasks without a choice keep ratings), rating = likelihood of voting for the agreement, asked 1-5 (definitely against to definitely in favor) but deposited as the authors' 0-1 rescale (0, .25, .5, .75, 1). Duration levels 1-9 years in the data vs 1-5 in the SM; derived implied-burden column dropped; N = 4,204 (paper 4,214).

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

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	If you had to choose, which agreement do you favor? [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? [rating, 0 (Definitely against) to 1 (Definitely in favor)]

Columns

attr_beneficiariesattr_durationattr_funding_useattr_overall_costattr_us_sharechoicecov_agecov_altruismcov_educationcov_employmentcov_gendercov_homecov_home_typecov_ideology7cov_incomecov_maritalcov_metrocov_party_id7cov_patriotism_nationalism1cov_patriotism_nationalism2cov_racecov_regioncov_religioncov_religious_attendancecov_statecov_survey_weightcov_vaccine_nationalismidprofileratingtask

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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_norc", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("nair_2022_covax_agreement_norc", source="conj")

How to cite

@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 }

Respondents	4,204
Rows (one per respondent, task and profile)	16,757
Tasks per respondent (most)	2
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

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

nair_2022_covax_agreement_norc