9,699 rated or chosen profiles from 1,642 respondents, in up to 3 tasks of 2 profiles varying on 5 attributes.
One of 3 tables from the same source; this one is the us table. The others are listed under Related tables.
| Description | 1,642 US adults (Lucid, April 2021) chose between and rated (0-100) two post-COVID recovery policy packages in 3 tasks, varying climate action, infrastructure investments, assistance to individuals, assistance to corporations and cost. |
|---|---|
| Reference | Bergquist, P., De Roche, G., Lachapelle, E., Mildenberger, M., & Harrison, K. (2023). The politics of intersecting crises: The effect of the COVID-19 pandemic on climate policy preferences. British Journal of Political Science, 53(2), 707-716. |
| DOI | 10.1017/S0007123422000266 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/LULYEB |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,642 |
|---|---|
| Rows (one per respondent, task and profile) | 9,699 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| 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 | Which policy package would you prefer? [choice, forced] |
|---|---|
| rating | On the scale below, tell us how strongly you support each of these two options with 0 corresponding to no support and 100 corresponding to full support. [rating, 0 (no support) to 100 (full support)] |
attr_assistance_to_corporationsattr_assistance_to_individualsattr_climate_actionattr_costattr_infrastructure_investmentsattrpos_assistance_to_corporationsattrpos_assistance_to_individualsattrpos_climate_actionattrpos_costattrpos_infrastructure_investmentschoicecov_agecov_climate_prioritycov_climate_worrycov_duration_seccov_education_codecov_ethnicity_codecov_expcheckcov_exprecheckcov_gender_codecov_hispanic_codecov_political_party_codeidprofileratingtasktrial_climateexperimenttrial_page_sec
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("bergquist_2023_covid_climate_us", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bergquist_2023_covid_climate_us", source="conj")
@article{Bergquist_2022, title={The Politics of Intersecting Crises: The Effect of the COVID-19 Pandemic on Climate Policy Preferences}, volume={53}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123422000266}, DOI={10.1017/s0007123422000266}, number={2}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Bergquist, Parrish and De Roche, Gabriel and Lachapelle, Erick and Mildenberger, Matto and Harrison, Kathryn}, year={2022}, month=July, pages={707–716} }
| 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 |