bhatia_2025_afghan_leaders

14,910 rated or chosen profiles from 2,485 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionFace-to-face respondents in three northern Afghan provinces (2016-2017; n=2,485) compared 3 pairs of hypothetical political leaders varying gender, education, age, ethnicity, professional experience and birthplace, choosing one and rating each 1-5 for suitability, after a randomly assigned prime (control, bribery, nepotism or insecurity).
ReferenceBhatia, J., & Monroe, S. L. (2025). Candidate qualifications and out-group support: Evidence from Afghanistan. Comparative Political Studies.
DOI10.1177/00104140241306960
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/KE6VPA

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

Respondents2,485
Rows (one per respondent, task and profile)14,910
Tasks per respondent (most)3
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryAF
Language shownprs, ps
Language of stored levelsen
Randomization restrictionsobserved in the data (not documented by the source): no rule documented; combinations never occurring in the data: Female x Military, Madrassa x age 28, Kandahar birthplace x any ethnicity other than Pashto. Level shares unequal: Military about half the share of other careers (1639 vs ~3300 rows), Kandahar about a fifth of other birthplaces (985 vs ~4600), age 28 less frequent
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

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.

Outcomes:

choiceGiven a choice between these two profiles, which person would you prefer as a leader? [choice, forced]
ratingOn a scale of 1-5, where one indicates that you think the person is absolutely unsuitable to represent you as a leader, and where five indicates that the person would be an ideal leader for you, where would you rate the first profile (Profile A)? [rating, 1 (Absolutely unsuitable) to 5 (Absolutely suitable)]

Columns

attr_ageattr_educationattr_ethnicityattr_genderattr_place_of_birthattr_professional_experiencechoicecov_agecov_econ_changecov_educationcov_ethnicitycov_gendercov_incomecov_intl_forces_remaincov_languagecov_maritalcov_provincecov_trust_national_govcov_trust_provincial_govidprofileratingtasktrial_prime

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("bhatia_2025_afghan_leaders", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bhatia_2025_afghan_leaders", source="conj")

How to cite

@article{Bhatia_2024, title={Candidate Qualifications and Out-Group Support: Evidence From Afghanistan}, volume={58}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140241306960}, DOI={10.1177/00104140241306960}, number={13}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Bhatia, Jasmine and Monroe, Steve L.}, year={2024}, month=Dec, pages={2831–2865} }

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