hainmueller_2014_candidate

3,466 rated or chosen profiles from 311 respondents, in up to 6 tasks of 2 profiles varying on 8 attributes.

One of 2 tables from the same source; this one is the candidate table. The others are listed under Related tables.

About this table

DescriptionCandidate conjoint: 311 MTurk respondents each compared up to 6 pairs of hypothetical U.S. presidential candidates varying on 8 attributes (military service, religion, college, profession, income, race/ethnicity, age, gender); forced choice plus a 7-point rating of each candidate.
ReferenceHainmueller, J., Hopkins, D. J., & Yamamoto, T. (2014). Causal inference in conjoint analysis: Understanding multidimensional choices via stated preference experiments. Political Analysis, 22(1), 1-30.
DOI10.1093/pan/mpt024
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/THJYQR

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

Respondents311
Rows (one per respondent, task and profile)3,466
Tasks per respondent (most)6
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
Countryunknown
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
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:

choiceWhich of these two candidates would you prefer to see as President of the United States? [choice, forced]
ratingOn a scale from 1 to 7, where 1 indicates that you would never support this candidate, and 7 indicates that you would always support this candidate, where would you place Candidate 1? (Candidate 2 analogous) [rating, 1 (Never Support) to 7 (Definitely Support)]

Columns

attr_ageattr_collegeattr_genderattr_incomeattr_military_serviceattr_professionattr_race_ethnicityattr_religionchoiceidprofileratingtask

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("hainmueller_2014_candidate", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hainmueller_2014_candidate", source="conj")

How to cite

@article{Hainmueller_2014, title={Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments}, volume={22}, ISSN={1476-4989}, url={http://dx.doi.org/10.1093/pan/mpt024}, DOI={10.1093/pan/mpt024}, number={1}, journal={Political Analysis}, publisher={Cambridge University Press (CUP)}, author={Hainmueller, Jens and Hopkins, Daniel J. and Yamamoto, Teppei}, year={2014}, pages={1–30} }

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