koob_2026_protest_dimensions

9,546 rated or chosen profiles from 1,591 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionSouth African respondents (n=1,591) compared two hypothetical service-delivery protests (size, grievance, who is blamed, tactics, duration, police response) in 3 tasks, choosing for each pair the protest they sympathize with more, whose demands they support, that is more of a public disorder, and whose protesters are more deserving.
ReferenceKoob, S. A., & Justesen, M. K. (2026). Fighting for a better life: Protests and public opinion in South Africa. Comparative Political Studies.
DOI10.1177/00104140261418611
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/A0C0IE

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

Respondents1,591
Rows (one per respondent, task and profile)9,546
Tasks per respondent (most)3
Profiles per task2
Attributes6

Design

Topiccrime justice policing
A profile representsscenario
CountryZA
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choice_deservingWhich of the two groups of protesters is more deserving? (paraphrase) [choice, forced]
choice_disorderWhich of the two protests is more of a public disorder? (paraphrase) [choice, forced]
choice_policyWhich of the two protests' policy demands do you support more? (paraphrase) [choice, forced]
choice_sympathyWhich of the two protests do you have more sympathy for? (paraphrase) [choice, forced]

Columns

attr_blameattr_durationattr_grievanceattr_participantsattr_policeattr_tacticschoice_deservingchoice_disorderchoice_policychoice_sympathycov_q3_1_codecov_race_codecov_vignette_armidprofiletask

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("koob_2026_protest_dimensions", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("koob_2026_protest_dimensions", source="conj")

How to cite

@article{Koob_2026, title={Fighting for a Better Life: Protests and Public Opinion in South Africa}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140261418611}, DOI={10.1177/00104140261418611}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Koob, Sigrid Alexandra and Justesen, Mogens K.}, year={2026}, month=Jan }

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