cohen_2024_poll_watchers_s1

13,578 rated or chosen profiles from 1,170 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.

One of 3 tables from the same source; this one is the s1 table. The others are listed under Related tables.

About this table

DescriptionStudy 1 (2021): 1,170 US adults (online panel) compared 6 pairs of polling locations varying poll watchers (state / party / both, with or without badges), voter ID, voting method, campaigning limits, wait time and registration rules; outcomes are which location would run a fairer election and a 1-5 fairness intensity rating of each.
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

Respondents1,170
Rows (one per respondent, task and profile)13,578
Tasks per respondent (most)6
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsplace
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of these two polling locations would conduct the election more fairly? (paraphrase of the pre-registration) [choice, forced]
ratingA five-point measure of the intensity of this belief [that the location would conduct the election more fairly] for each polling location (paraphrase of the pre-registration) [rating, 1 (unknown) to 5 (unknown)]

Columns

attr_campaigningattr_poll_watchersattr_registrationattr_vote_methodattr_voter_idattr_wait_timechoicecov_pid3_leanidprofileratingtask

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_s1", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("cohen_2024_poll_watchers_s1", 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