cohen_2024_poll_watchers_s3

9,356 rated or chosen profiles from 1,571 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

One of 3 tables from the same source; this one is the s3 table. The others are listed under Related tables.

About this table

DescriptionStudy 3 conjoint replication: 1,571 US adults compared 3 pairs of polling locations varying partisan poll watchers, voter ID, voting method, campaigning limits, wait time and registration rules; outcome is which location would conduct the election more fairly.
ReferenceCohen, M. J., & Sheagley, G. (2024). Partisan poll watchers and Americans' perceptions of electoral fairness. Public Opinion Quarterly, 88(SI), 536-560.
DOI10.1093/poq/nfae024
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/MDQS4H

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

Respondents1,571
Rows (one per respondent, task and profile)9,356
Tasks per respondent (most)3
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsplace
CountryUS
Language shownen
Language of stored levelsen
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 polling locations would conduct the election more fairly? (paraphrase of the pre-registration) [choice, forced]

Columns

attr_campaigningattr_poll_watchersattr_registrationattr_vote_methodattr_voter_idattr_wait_timechoicecov_pid3_leanidprofiletask

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("cohen_2024_poll_watchers_s3", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("cohen_2024_poll_watchers_s3", source="conj")

How to cite

@article{Cohen_2024, title={Partisan Poll Watchers and Americans’ Perceptions of Electoral Fairness}, volume={88}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfae024}, DOI={10.1093/poq/nfae024}, number={SI}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Cohen, Mollie J and Sheagley, Geoffrey}, year={2024}, pages={536–560} }

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