chewning_2024_campaign_volunteers

1,150 rated or chosen profiles from 194 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionCandidates and staff of 2020 US congressional and statewide campaigns (194 survey responses with an answer) chose which of two volunteer profiles, varying gender, age, race, ideology, dedication and reliability, they would prefer to work on their campaign, in 3 pairs.
ReferenceChewning, T. K., Green, J., Hassell, H. J. G., & Miles, M. R. (2024). Campaign principal-agent problems: Volunteers as faithful and representative agents. Political Behavior, 46(1), 405-426.
DOI10.1007/s11109-022-09836-9
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/VNUJM8

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

Respondents194
Rows (one per respondent, task and profile)1,150
Tasks per respondent (most)3
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiclabour hiring
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): ideology level 'Strong Conservative' only in the survey of Republican campaigns and 'Strong Progressive' only in that of Democratic campaigns (codebook notes); other attributes: no source documents randomization
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceWhich of the following two individuals would you prefer to have work on your campaign as a volunteer? [choice, forced]

Columns

attr_ageattr_dedicationattr_genderattr_ideologyattr_raceattr_reliabilitychoicecov_candidate_ideologycov_candidate_partycov_experiencecov_gendercov_ideologycov_incumbentcov_officecov_personcov_racecov_rolecov_volunteersidprofiletask

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("chewning_2024_campaign_volunteers", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("chewning_2024_campaign_volunteers", source="conj")

How to cite

@article{Chewning_2022, title={Campaign Principal-Agent Problems: Volunteers as Faithful and Representative Agents}, volume={46}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-022-09836-9}, DOI={10.1007/s11109-022-09836-9}, number={1}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Chewning, Taylor Kinsley and Green, Jon and Hassell, Hans J. G. and Miles, Matthew R.}, year={2022}, month=Dec, pages={405–426} }

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