2,000 rated or chosen profiles from 1,000 respondents, in up to 1 tasks of 2 profiles varying on 6 attributes.
| Description | Swiss respondents (n = 1,000, German-language online survey) chose between two hypothetical male candidates varying name (Swiss or non-Swiss), profession, age, policy focus and number of children; in one arm a competence or political-office cue was added. |
|---|---|
| Reference | Portmann, L. (2022). What makes a successful candidate? Political experience and low-information cues in elections. The Journal of Politics, 84(4), 2049-2063. |
| DOI | 10.1086/719638 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/IZA24F |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,000 |
|---|---|
| Rows (one per respondent, task and profile) | 2,000 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | CH |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | recorded in the deposit |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | unknown [choice, forced] |
|---|
attr_ageattr_childrenattr_competenceattr_nameattr_policyattr_professionchoicecov_age_groupcov_cantoncov_educ3cov_finishedcov_gendercov_ideologyidprofiletasktrial_competence_arm
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("portmann_2022_candidate_cues", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("portmann_2022_candidate_cues", source="conj")
@article{Portmann_2022, title={What Makes a Successful Candidate? Political Experience and Low-Information Cues in Elections}, volume={84}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/719638}, DOI={10.1086/719638}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Portmann, Lea}, year={2022}, month=Oct, pages={2049–2063} }
| IRW version | v607 |
|---|---|
| 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 v47.0 |