7,694 rated or chosen profiles from 1,294 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

One of 2 tables from the same source; this one is the exp1 table. The others are listed under Related tables.

About this table

Description	South Korean National Police frontline investigators (n=1,294) chose which of two assault cases to prioritize (accuser age, accuser gender, accuser occupation, accused age, accused reachability, assault story); 3 pairs each, experiment 1 of 2.
Reference	Kang, I., & Jilke, S. (2024). Mapping out the motivational basis of active representation as intergroup behavior. Public Administration, 102(1), 164-187.
DOI	10.1111/padm.12908
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/ZT9R5W

Notes

Conjoint table (irw_conjoint). choice = which of two cases the investigator would prioritize (the authors' 'case prioritization'; verbatim Korean wording not deposited), forced choice between pairs; task is inferred from profile order. Attribute levels are the authors' English coding labels, not the Korean text shown. Occupation levels are unequal (accuser occupation unemployed on 14% of profiles vs low-SES 44%, high-SES 42%). cov_gender is the investigator's gender (female/male). Unanswered pairs omitted.

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	1,294
Rows (one per respondent, task and profile)	7,694
Tasks per respondent (most)	3
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	crime justice policing
A profile represents	scenario
Country	KR
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	inferred from row order
Profile position	inferred from row order

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

Outcomes:

choice	Which case would you prioritize? (paraphrase) [choice, forced]

Columns

attr_accused_ageattr_accused_reachabilityattr_accuser_ageattr_accuser_genderattr_accuser_occupationattr_assault_storychoicecov_genderidprofiletask

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("kang_2024_police_priority_exp1", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("kang_2024_police_priority_exp1", source="conj")

How to cite

@article{Kang_2022, title={Mapping out the motivational basis of active representation as intergroup behavior}, volume={102}, ISSN={1467-9299}, url={http://dx.doi.org/10.1111/padm.12908}, DOI={10.1111/padm.12908}, number={1}, journal={Public Administration}, publisher={Wiley}, author={Kang, Inkyu and Jilke, Sebastian}, year={2022}, month=Dec, pages={164–187} }

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