bechtel_2013_climate_agreements_uk

16,000 rated or chosen profiles from 2,000 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

One of 4 tables from the same source; this one is the uk table. The others are listed under Related tables.

About this table

DescriptionClimate-agreement conjoint: 2,000 adults in United Kingdom (YouGov internet sample, summer 2012) each compared 4 pairs of hypothetical global climate agreements varying household cost, cost distribution, participating countries, emissions covered, sanctions and monitoring body; outcomes are a forced choice and a 1-10 referendum vote rating.
ReferenceBechtel, M. M., & Scheve, K. F. (2013). Mass support for global climate agreements depends on institutional design. Proceedings of the National Academy of Sciences, 110(34), 13763-13768.
DOI10.1073/pnas.1306374110
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/UGZ2BY

Notes

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

Size and shape

Respondents2,000
Rows (one per respondent, task and profile)16,000
Tasks per respondent (most)4
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryGB
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceFor each comparison we would like to know which of the two agreements you prefer. You may like both alternatives similarly or may not like either of them at all. Regardless of your overall evaluation, please indicate which alternative you prefer over the other. [choice, forced]
ratingIf you could vote on each of these agreements in a referendum, how likely is it that you would vote in favor or against each of the agreements? Please give your answer on the following scale from definitely against (1) to definitely in favor (10). [rating, 1 (definitely against) to 10 (definitely in favor)]

Columns

attr_costattr_cost_distributionattr_emissions_coveredattr_monitoringattr_participating_countriesattr_sanctionschoicecov_agecov_attention_passcov_educationcov_gendercov_ideologycov_incomecov_know_defensecov_know_termcov_survey_weightidprofileratingtask

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 neededBrowse on Redivisexplore and queryCroissant 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("bechtel_2013_climate_agreements_uk", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bechtel_2013_climate_agreements_uk", source="conj")

How to cite

@article{Bechtel_2013, title={Mass support for global climate agreements depends on institutional design}, volume={110}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.1306374110}, DOI={10.1073/pnas.1306374110}, number={34}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Bechtel, Michael M. and Scheve, Kenneth F.}, year={2013}, month=July, pages={13763–13768} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0