barnett_2025_quota_politicians

914 rated or chosen profiles from 914 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

DescriptionMoroccan adults (face-to-face national survey, 2023) read one vignette about an MP whose gender/mode of election (district vs gender quota) and collaboration (own party vs other parties) were randomized, and rated the MP's competence, pawn-likeness and cooperativeness on 1-10 scales. 914 respondents.
ReferenceBarnett, C., Blackman, A., & Shalaby, M. (2025). Competent legislators or mere pawns? Experimental evidence of attitudes toward gender quota politicians. Political Science Research and Methods, 13(4).
DOI10.1017/psrm.2024.69
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/HXLRBY

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

Respondents914
Rows (one per respondent, task and profile)914
Tasks per respondent (most)1
Profiles per task1
Attributes2

Design

Topiccandidate choice
A profile representsperson
CountryMA
Language shownunknown
Language of stored levelsen
Randomization restrictionsyes (stated by the source): attr_politician has three arms (man district-elected, woman district-elected, woman quota-elected) with probabilities 0.25/0.25/0.50; gender x election mode is not crossed (no quota man); attr_collaboration 0.5/0.5, independent of attr_politician
Task orderinferred from row order
Profile positioninferred from row order

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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

rating_competenceIf you had to rate this politician on a scale from 1-10, how would you rate him/her in terms of competence? [rating, 1 (unknown) to 10 (unknown)]
rating_cooperationIf you had to rate this politician on a scale from 1-10, how would you rate whether this politician is cooperative? [rating, 1 (unknown) to 10 (unknown)]
rating_pawnlikeIf you had to rate this politician on a scale from 1-10, how would you rate whether this politician is a pawn of party elites? [rating, 1 (unknown) to 10 (unknown)]

Columns

attr_collaborationattr_politiciancov_agecov_bs_cherishcov_bs_moralcov_educationcov_employedcov_gendercov_govt_satiscov_hs_controlcov_hs_offendedcov_hs_workcov_in_laborforcecov_manip_correctcov_married_widowedcov_ms_antagonismcov_ms_denial_1cov_ms_denial_2cov_ms_denial_3cov_ms_resentmentcov_religiositycov_ses_subjcov_trust_in_electionscov_unemployedcov_urbancov_vote_2021cov_women_decisioncov_women_jobscov_women_leadersidprofilerating_competencerating_cooperationrating_pawnliketask

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("barnett_2025_quota_politicians", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("barnett_2025_quota_politicians", source="conj")

How to cite

@article{Barnett_2025, title={Competent legislators or mere pawns? Experimental evidence of attitudes toward gender quota politicians}, volume={13}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2024.69}, DOI={10.1017/psrm.2024.69}, number={4}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Barnett, Carolyn and Blackman, Alexandra and Shalaby, Marwa}, year={2025}, month=Jan, pages={994–1007} }

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