dow_2023_vigilantism

37,460 rated or chosen profiles from 9,365 respondents, in up to 2 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionGuatemalan household-survey respondents (n = 9,365, 14 departments) saw 2 pairs of crime scenarios varying victim gender, crime type, perpetrator type, perpetrator's community and perpetrator gender, and chose the case where community rather than police punishment would be better and the case deserving more severe punishment.
ReferenceDow, D., Levy, G., Romero, D., & Tellez, J. (2023). State absence, vengeance, and the logic of vigilantism in Guatemala. Comparative Political Studies, 57(1), 147-181.
DOI10.1177/00104140231169026
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/M9WUK8

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

Respondents9,365
Rows (one per respondent, task and profile)37,460
Tasks per respondent (most)2
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

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

Outcomes:

choiceOf the two scenarios, in which case do you think it would be better for someone in the community rather than the police to punish the perpetrator directly? Even if you aren't completely sure, choose one of the two cases. [choice, forced]
choice_punishAnd of the two scenarios, which case do you think should be punished more severely? [choice, forced]

Columns

attr_crimeattr_perpetratorattr_perpetrator_genderattr_social_distanceattr_victim_genderchoicechoice_punishcov_agecov_basic_expensescov_departmentcov_educationcov_enumerator_gendercov_gendercov_mano_duracov_rape_changecov_sexual_assaultcov_war_paccov_war_victimcov_women_leadersidprofiletask

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("dow_2023_vigilantism", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("dow_2023_vigilantism", source="conj")

How to cite

@article{Dow_2023, title={State Absence, Vengeance, and the Logic of Vigilantism in Guatemala}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231169026}, DOI={10.1177/00104140231169026}, number={1}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Dow, David A. and Levy, Gabriella and Romero, Diego and Tellez, Juan Fernando}, year={2023}, month=May, pages={147–181} }

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