26,720 rated or chosen profiles from 2,688 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | Paired 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). |
|---|---|
| Reference | Laterzo, I. G. (2023). Progressive ideology and support for punitive crime policy: Evidence from Argentina and Brazil. Comparative Political Studies. |
| DOI | 10.1177/00104140231193011 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/18FDDI |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,688 |
|---|---|
| Rows (one per respondent, task and profile) | 26,720 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | AR, BR |
| Language shown | es, pt |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | unknown |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Choice between two candidate profiles (paraphrase; wording not deposited) [choice, forced] |
|---|
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.
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")
@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} }
| 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 |