hultinrosenberg_2022_voting_rights

11,759 rated or chosen profiles from 980 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionUS citizens (Qualtrics panel, 2018; n = 980) chose between 6 pairs of hypothetical persons varying in citizenship, country of birth, education, gender, income-tax payment and residence, and rated each 1-7 on extending voting rights to them.
ReferenceHultin Rosenberg, J., & Wejryd, J. (2022). Attitudes toward competing voting-right requirements: Evidence from a conjoint experiment. Electoral Studies, 77, 102470.
DOI10.1016/j.electstud.2022.102470
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/EPH0FI

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

Respondents980
Rows (one per respondent, task and profile)11,759
Tasks per respondent (most)6
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicdemocracy institutions, immigration asylum
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two persons should have the right to vote? (paraphrase; wording not deposited) [choice, forced]
ratingRating of granting this person voting rights, 1-7 (paraphrase; wording not deposited) [rating, 1 (unknown) to 7 (unknown)]

Columns

attr_bornattr_citizenshipattr_eduattr_genderattr_residenceattr_taxpayerchoicecov_agecov_duration_seccov_educationcov_employmentcov_gendercov_household_incomecov_importance_democracycov_us_bornidprofileratingtask

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("hultinrosenberg_2022_voting_rights", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hultinrosenberg_2022_voting_rights", source="conj")

How to cite

@article{Rosenberg_2022, title={Attitudes toward competing voting-right requirements: Evidence from a conjoint experiment}, volume={77}, ISSN={0261-3794}, url={http://dx.doi.org/10.1016/j.electstud.2022.102470}, DOI={10.1016/j.electstud.2022.102470}, journal={Electoral Studies}, publisher={Elsevier BV}, author={Rosenberg, Jonas Hultin and Wejryd, Johan}, year={2022}, month=June, pages={102470} }

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