129,200 rated or chosen profiles from 8,075 respondents, in up to 8 tasks of 2 profiles varying on 8 attributes.
| Description | Respondents in the US, UK, Germany and France (n = 8,075; YouGov panels, 2018-2019) chose between two climate-policy scenarios, each specifying monthly household costs, cost path over time and the adaptation/mitigation split for both their own country and other major economies; 8 tasks, forced choice, plus a 1-10 effectiveness rating (US only). |
|---|---|
| Reference | Bechtel, M. M., Scheve, K. F., & van Lieshout, E. (2022). Improving public support for climate action through multilateralism. Nature Communications, 13, 6441. |
| DOI | 10.1038/s41467-022-33830-8 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/GCNO77 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 8,075 |
|---|---|
| Rows (one per respondent, task and profile) | 129,200 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 8 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | US, GB, DE, FR |
| Language shown | en, fr, de |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): adaptation and mitigation shares sum to 100 within each country block (mitigation = 100 - adaptation); otherwise all attribute levels were 'fully and separately randomized' (Supplementary Fig. 5) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| choice | Which of these scenarios do you prefer? [choice, forced] |
|---|---|
| rating_effectiveness | Expected effectiveness of scenario k, 1 = not effective at all (variable label 'Scenario k Effectiveness'; question wording not in the deposit) (paraphrase) [rating, 1 (Not effective at all) to 10 (unknown)] |
attr_other_adaptationattr_other_costattr_other_cost_pathattr_other_mitigationattr_own_adaptationattr_own_costattr_own_cost_pathattr_own_mitigationattrpos_other_adaptationattrpos_other_costattrpos_other_cost_pathattrpos_other_mitigationattrpos_own_adaptationattrpos_own_costattrpos_own_cost_pathattrpos_own_mitigationchoicecov_birth_yearcov_countrycov_gendercov_survey_weightidprofilerating_effectivenesstasktrial_block_order
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("bechtel_2022_climate_multilateralism", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bechtel_2022_climate_multilateralism", source="conj")
@article{Bechtel_2022, title={Improving public support for climate action through multilateralism}, volume={13}, ISSN={2041-1723}, url={http://dx.doi.org/10.1038/s41467-022-33830-8}, DOI={10.1038/s41467-022-33830-8}, number={1}, journal={Nature Communications}, publisher={Springer Science and Business Media LLC}, author={Bechtel, Michael M. and Scheve, Kenneth F. and van Lieshout, Elisabeth}, year={2022}, month=Oct }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |