2,974 rated or chosen profiles from 248 respondents, in up to 6 tasks of 2 profiles varying on 7 attributes.
One of 2 tables from the same source; this one is the fair table. The others are listed under Related tables.
| Description | 248 adults recruited at two county fairs in Southwest Pennsylvania (July-August 2021) each chose between 2 government proposals to help fossil fuel workers and communities in 6 tasks; proposals varied in retraining program, retrained salary, retraining time, income support, benefit support, relocation support and community investment. |
|---|---|
| Reference | Gazmararian, A. F. (2024). Fossil fuel communities support climate policy coupled with just transition assistance. Energy Policy, 184, 113880. |
| DOI | 10.1016/j.enpol.2023.113880 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/FC9X6H |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 248 |
|---|---|
| Rows (one per respondent, task and profile) | 2,974 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 7 |
| 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 | If you had to choose, which proposal would you prefer the government to pursue? [choice, forced] |
|---|
attr_benefit_supportattr_community_investmentattr_free_retraining_programattr_income_support_during_retrainingattr_relocation_supportattr_retrained_worker_salaryattr_worker_retraining_timechoicecov_age_groupcov_attention_passcov_educationcov_faircov_gendercov_party_idcov_survey_weightcov_weight_untrimmedidprofiletasktrial_intro
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("gazmararian_2024_transition_fair", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gazmararian_2024_transition_fair", source="conj")
@article{Gazmararian_2024, title={Fossil fuel communities support climate policy coupled with just transition assistance}, volume={184}, ISSN={0301-4215}, url={http://dx.doi.org/10.1016/j.enpol.2023.113880}, DOI={10.1016/j.enpol.2023.113880}, journal={Energy Policy}, publisher={Elsevier BV}, author={Gazmararian, Alexander F.}, year={2024}, month=Jan, pages={113880} }
| 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 |