portmann_2022_candidate_cues

2,000 rated or chosen profiles from 1,000 respondents, in up to 1 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionSwiss 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.
ReferencePortmann, L. (2022). What makes a successful candidate? Political experience and low-information cues in elections. The Journal of Politics, 84(4), 2049-2063.
DOI10.1086/719638
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/IZA24F

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

Respondents1,000
Rows (one per respondent, task and profile)2,000
Tasks per respondent (most)1
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryCH
Language shownde
Language of stored levelsde
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

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

Outcomes:

choiceunknown [choice, forced]

Columns

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.

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("portmann_2022_candidate_cues", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("portmann_2022_candidate_cues", source="conj")

How to cite

@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} }

Version and provenance

IRW versionv607
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v47.0