1,525 rated or chosen profiles from 1,525 respondents, in up to 1 tasks of 1 profile varying on 11 attributes.

About this table

Description	Zambian phone-survey respondents (ZEPS wave 2, July-August 2021, n = 1,525) each heard one vignette in which a local authority urges them to campaign for or attend a meeting with a parliamentary candidate, with 11 randomized factors (candidate co-ethnicity, co-partisanship, gender, origin, residence; leader and community monitoring; friends joining; payment); they rated their likelihood of participating, expected sanctions, enjoyment and whether the authority would back the candidate.
Reference	Jöst, P., Krönke, M., Lockwood, S. J., & Lust, E. (2024). Drivers of political participation: The role of partisanship, identity, and incentives in mobilizing Zambian citizens. Comparative Political Studies, 57(9), 1441-1474.
DOI	10.1177/00104140231194064
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/XZVS5B

Notes

Conjoint table (irw_conjoint). Factorial vignette, one per respondent, read by phone. rating: likelihood of spending a day campaigning / attending the meeting, 1 very likely to 4 not likely at all (raw; lower = more willing); rating_leader_sanction and rating_community_sanction: likelihood of being treated better or worse depending on participation (same 1-4); rating_enjoy: 1 very much to 4 not at all; rating_authority_support: would the authority support this candidate, 1 yes, 2 no. Don't know/refuse = NA. Co-ethnicity and co-partisanship are relative levels (the piped-in group/party not saved). 11 respondents dropped (missing levels or no answers).

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	democracy institutions
A profile represents	scenario
Country	ZM
Language shown	unknown
Language of stored levels	en
Task order	inferred from row order
Profile position	inferred from row order

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

Outcomes:

rating	How likely are you to spend a day helping campaign for a parliamentary candidate/attend a community meeting, expressing local concerns to the MP candidate? [rating, 1 (very likely) to 4 (not likely at all)]
rating_authority_support	Do you think your {Authority} would support an MP candidate such as the one described here? [rating, 1 (Yes) to 2 (No)]
rating_community_sanction	How likely do you think it is that other members of your village or neighbor would treat you better or worse in the future, depending on whether or not you {Activity}? [rating, 1 (very likely) to 4 (not likely at all)]
rating_enjoy	How much do you think you would enjoy {Activity}? [rating, 1 (very much) to 4 (not at all)]
rating_leader_sanction	How likely is it that your {Authority} would treat you better or worse in the future, depending on whether or not you {Activity}? [rating, 1 (very likely) to 4 (not likely at all)]

Columns

attr_activityattr_authorityattr_ethnicityattr_genderattr_originattr_partisanshipattr_paymentattr_residenceattr_sanctioning_communityattr_sanctioning_leaderattr_social_benefitcov_agecov_educationcov_ethnicitycov_ever_participatedcov_gendercov_income_situationcov_urbancov_vote_intentionidprofileratingrating_authority_supportrating_community_sanctionrating_enjoyrating_leader_sanctiontask

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 needed Browse on Redivisexplore and query Croissant 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("jost_2024_zambia_participation", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jost_2024_zambia_participation", source="conj")

How to cite

@article{J_st_2023, title={Drivers of Political Participation: The Role of Partisanship, Identity, and Incentives in Mobilizing Zambian Citizens}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231194064}, DOI={10.1177/00104140231194064}, number={9}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Jöst, Prisca and Krönke, Matthias and Lockwood, Sarah J. and Lust, Ellen}, year={2023}, month=Sept, pages={1441–1474} }

Respondents	1,525
Rows (one per respondent, task and profile)	1,525
Tasks per respondent (most)	1
Profiles per task	1
Attributes	11

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

jost_2024_zambia_participation