13,484 rated or chosen profiles from 2,248 respondents, in up to 3 tasks of 2 profiles varying on 5 attributes.
| Description | Spanish adults in an online quota sample (June 2016, n=2,248) evaluated 3 pairs of hypothetical mayoral candidates varying sex, party, qualities, economic performance and corruption. Outcomes: 0-10 probability of voting for each candidate, and a forced choice between them. |
|---|---|
| Reference | Breitenstein, S. (2019). Choosing the crook: A conjoint experiment on voting for corrupt politicians. Research & Politics, 6(1). |
| DOI | 10.1177/2053168019832230 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/HOSWS7 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,248 |
|---|---|
| Rows (one per respondent, task and profile) | 13,484 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice, corruption accountability |
|---|---|
| A profile represents | person |
| Country | ES |
| Language shown | es |
| Language of stored levels | es |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Imagina que hay elecciones en tu municipio. ¿Qué alcalde o alcaldesa preferir... (truncated in source) [choice, forced] |
|---|---|
| rating | Likelihood of voting for each candidate if they were running for elections in the respondent's hometown (paraphrase) [rating, 0 (would never vote for) to 10 (would definitely vote for)] |
attr_corruptionattr_economic_performanceattr_partyattr_qualitiesattr_sexchoicecov_agecov_educationcov_employmentcov_gendercov_ideologycov_incomecov_knowledge_1cov_knowledge_2cov_knowledge_3cov_knowledge_unemploymentcov_party_closenesscov_party_idcov_ptv_ciudadanoscov_ptv_podemoscov_ptv_ppcov_ptv_psoecov_satisfaction_democracycov_turnout_municipalidprofileratingtasktrial_page_seconds
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("breitenstein_2019_corrupt_mayors", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("breitenstein_2019_corrupt_mayors", source="conj")
@article{Breitenstein_2019, title={Choosing the crook: A conjoint experiment on voting for corrupt politicians}, volume={6}, ISSN={2053-1680}, url={http://dx.doi.org/10.1177/2053168019832230}, DOI={10.1177/2053168019832230}, number={1}, journal={Research & Politics}, publisher={SAGE Publications}, author={Breitenstein, Sofia}, year={2019}, month=Jan }
| 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 |