11,800 rated or chosen profiles from 1,180 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.
| Description | 1,180 UK respondents (Lucid, August 2022) compared 5 pairs of hypothetical government energy policies varying energy source, funding, import restrictions, subsidies and support scheme, after a randomized framing message (control, economy, security). Outcomes: forced choice between the two policies and 1-5 support for each. |
|---|---|
| Reference | Beiser-McGrath, L. F. (2024). Energy policy preferences in times of crisis: Evidence from survey experiments in the UK. Journal of Political Institutions and Political Economy, 5(4), 555-579. |
| DOI | 10.1561/113.00000111 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/RUNQHV |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,180 |
|---|---|
| Rows (one per respondent, task and profile) | 11,800 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | GB |
| 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 do you prefer? [choice, forced] |
|---|---|
| rating | How much do you support or oppose <Policy A>? [rating, 1 (Strongly Oppose) to 5 (Strongly Support)] |
attr_energy_sourceattr_fundingattr_import_restrictionsattr_subsidiesattr_support_schemechoicecov_age_groupcov_brexit_votecov_educ_categcov_gendercov_nationcov_party_idcov_ukr_intervention_supportidprofileratingtasktrial_frame
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("beisermcgrath_2024_energy_policy", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("beisermcgrath_2024_energy_policy", source="conj")
@article{Beiser_McGrath_2024, title={Energy Policy Preferences in Times of Crisis: Evidence from Survey Experiments in the UK}, volume={5}, ISSN={2689-4823}, url={http://dx.doi.org/10.1561/113.00000111}, DOI={10.1561/113.00000111}, number={4}, journal={Journal of Political Institutions and Political Economy}, publisher={Emerald}, author={Beiser-McGrath, Liam F.}, year={2024}, month=Dec, pages={555–579} }
| 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 |