7,364 rated or chosen profiles from 1,841 respondents, in up to 2 tasks of 2 profiles varying on 6 attributes.

About this table

Description	Paired conjoint on cooperation with the police: 1,841 respondents of a nationwide survey in Guatemala chose, in each of 2 pairs, the scenario in which they would cooperate with the police; scenarios varied police origin, reprisal risk, general violence, economic losses, neighbours' help and police effectiveness.
Reference	Denny, E. K., Dow, D. A., Pitts, W., & Wibbels, E. (2023). Citizen cooperation with the police: Evidence from contemporary Guatemala. Comparative Political Studies, 56(7), 1072-1110.
DOI	10.1177/00104140221139379
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/9JHGVS

Notes

Conjoint table (irw_conjoint). Two paired scenario tasks; choice = the scenario in which the respondent would cooperate with the police (paraphrase; wording not deposited), forced choice, no opt-out. Levels are the authors' English labels (displayed wording not deposited); profile order within a task is the deposit's row order, screen position unknown. N = 1,841 (not checked against the closed article).

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

Size and shape

Respondents	1,841
Rows (one per respondent, task and profile)	7,364
Tasks per respondent (most)	2
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	crime justice policing
A profile represents	scenario
Country	GT
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	unknown

Outcomes:

choice	Which of the two scenarios would you cooperate with the police in? (paraphrase; authors' figure title 'Attribute Choice for Police Cooperation') [choice, forced]

Columns

attr_economic_lossesattr_neighbors_helpattr_police_effectiveattr_police_originattr_reprisal_chanceattr_violencechoicecov_pol_legitidprofiletask

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("denny_2022_police_cooperation", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("denny_2022_police_cooperation", source="conj")

How to cite

@article{Denny_2022, title={Citizen Cooperation with the Police: Evidence from Contemporary Guatemala}, volume={56}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140221139379}, DOI={10.1177/00104140221139379}, number={7}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Denny, Elaine K. and Dow, David A. and Pitts, Wayne and Wibbels, Erik}, year={2022}, month=Nov, pages={1072–1110} }

Version and provenance

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