13,152 rated or chosen profiles from 1,316 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
One of 3 tables from the same source; this one is the s2 table. The others are listed under Related tables.
| Description | Study 2 (2022): 1,316 US adults compared 5 pairs of polling locations varying partisan poll watchers (Democratic / Republican / both, with or without badges), voter ID, voting method, campaigning limits, wait time and registration rules; outcomes are which location would have fairer results and a 1-5 fairness intensity rating of each. |
|---|---|
| Reference | Cohen, M. J., & Sheagley, G. (2024). Partisan poll watchers and Americans' perceptions of electoral fairness. Public Opinion Quarterly, 88(SI), 536-560. |
| DOI | 10.1093/poq/nfae024 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MDQS4H |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,316 |
|---|---|
| Rows (one per respondent, task and profile) | 13,152 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | democracy institutions |
|---|---|
| A profile represents | place |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two polling locations would have fairer results? (paraphrase of the pre-registration) [choice, forced] |
|---|---|
| rating | A 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)] |
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.
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_s2", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("cohen_2024_poll_watchers_s2", source="conj")
@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} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |