peyton_2022_police_recruit_officers

2,452 rated or chosen profiles from 246 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

One of 2 tables from the same source; this one is the officers table. The others are listed under Related tables.

About this table

DescriptionSworn Yonkers Police Department officers (June 2021, n = 246) chose between 5 pairs of hypothetical police-officer applicants varying in sex, age, race/ethnicity, education, residency, exam score, motivation and previous occupation, and rated each 1-7.
ReferencePeyton, K., Weiss, C. M., & Vaughn, P. E. (2022). Beliefs about minority representation in policing and support for diversification. Proceedings of the National Academy of Sciences, 119(52), e2213986119.
DOI10.1073/pnas.2213986119
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/VU1JI1

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

Respondents246
Rows (one per respondent, task and profile)2,452
Tasks per respondent (most)5
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topiccrime justice policing
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): previous occupation School teacher or Social worker only with education Bachelors degree or Graduate degree; otherwise independent. The restriction lowers the shares of School teacher and Social worker (about 5% each against about 13% for the other occupations)
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceIf you had to choose between them, which of these two applicants would your prefer to see recruited into the Yonkers PD? [choice, forced]
ratingPlease rate each applicant on a scale from 1 to 7, where 1 indicates they should definitely not be recruited and 7 indicates they should definitely be recruited. [rating, 1 (Definitely Not Recruit) to 7 (Definitely Recruit)]

Columns

attr_ageattr_educationattr_examattr_motivationattr_occupationattr_raceattr_residencyattr_sexchoiceidprofileratingtask

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("peyton_2022_police_recruit_officers", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("peyton_2022_police_recruit_officers", source="conj")

How to cite

@article{Peyton_2022, title={Beliefs about minority representation in policing and support for diversification}, volume={119}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2213986119}, DOI={10.1073/pnas.2213986119}, number={52}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Peyton, Kyle and Weiss, Chagai M. and Vaughn, Paige E.}, year={2022}, month=Dec }

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