10,605 rated or chosen profiles from 2,121 respondents, in up to 5 tasks of 1 profile varying on 5 attributes.
| Description | US Lucid respondents (December 2021) each evaluated 5 hypothetical COVID-19 vaccine (or booster) profiles one at a time, varying efficacy, protection duration, protection against future variants, manufacturer and financial incentive, after a randomized Omicron information prime. 2,121 respondents; would-get-it choice and a 1-7 likelihood rating. |
|---|---|
| Reference | Raman, S., Kriner, D., Ziebarth, N., Simon, K., & Kreps, S. (2022). COVID-19 booster uptake among US adults: Assessing the impact of vaccine attributes, incentives, and context in a choice-based experiment. Social Science & Medicine, 310, 115277. |
| DOI | 10.1016/j.socscimed.2022.115277 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/DMIMUL |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,121 |
|---|---|
| Rows (one per respondent, task and profile) | 10,605 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 1 |
| Attributes | 5 |
| Tasks with no profile chosen | 4,271 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | If you had to choose, would you choose to get this vaccine [booster]? [choice, opt-out allowed] |
|---|---|
| rating | How likely or unlikely would you be to get the vaccine [booster] d... (Stata label truncated) [rating, 1 (Extremely unlikely) to 7 (Extremely likely)] |
attr_durationattr_efficacyattr_incentiveattr_manufacturerattr_protectionchoicecov_agecov_booster_statuscov_duration_seccov_educationcov_gendercov_ideologycov_incomecov_party_idcov_party_leancov_race_1cov_race_2cov_race_3cov_race_4cov_race_5cov_race_6cov_statecov_vax_statusidprofileratingtasktrial_omicron_info
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("raman_2022_covid_booster", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("raman_2022_covid_booster", source="conj")
@article{Raman_2022, title={COVID-19 booster uptake among US adults: Assessing the impact of vaccine attributes, incentives, and context in a choice-based experiment}, volume={310}, ISSN={0277-9536}, url={http://dx.doi.org/10.1016/j.socscimed.2022.115277}, DOI={10.1016/j.socscimed.2022.115277}, journal={Social Science & Medicine}, publisher={Elsevier BV}, author={Raman, Shyam and Kriner, Douglas and Ziebarth, Nicolas and Simon, Kosali and Kreps, Sarah}, year={2022}, month=Oct, pages={115277} }
| IRW version | v607 |
|---|---|
| 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 v47.0 |