laterzo_2023_crime_candidates

26,720 rated or chosen profiles from 2,688 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionPaired candidate conjoint on crime policy: 2,688 online respondents in Argentina and Brazil each chose between two candidates in 5 pairs varying sex and positions on abortion, taxes, same-sex marriage, the environment and crime (social programs vs punitive policing).
ReferenceLaterzo, I. G. (2023). Progressive ideology and support for punitive crime policy: Evidence from Argentina and Brazil. Comparative Political Studies.
DOI10.1177/00104140231193011
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/18FDDI

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

Respondents2,688
Rows (one per respondent, task and profile)26,720
Tasks per respondent (most)5
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryAR, BR
Language shownes, pt
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionunknown

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

Outcomes:

choiceChoice between two candidate profiles (paraphrase; wording not deposited) [choice, forced]

Columns

attr_abortionattr_crimeattr_environmentattr_same_sex_marriageattr_sexattr_taxeschoicecov_agecov_assist_effectcov_countrycov_crime_gangcov_demo_06cov_demo_07cov_demo_14cov_educationcov_gender_codecov_ideo_01bcov_ideo_01ccov_ideo_01dcov_ideo_05bcov_ideo_05ccov_ideo_05dcov_ideo_05ecov_pol_04cov_pol_05cov_safety_neighbcov_social_polcov_state_codecov_toiletcov_viccov_vic_famidprofiletask

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("laterzo_2023_crime_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("laterzo_2023_crime_candidates", source="conj")

How to cite

@article{Laterzo_2023, title={Progressive Ideology and Support for Punitive Crime Policy: Evidence from Argentina and Brazil}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231193011}, DOI={10.1177/00104140231193011}, number={6}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Laterzo, Isabel G.}, year={2023}, month=July, pages={999–1034} }

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