lipps_2025_border_measures

34,992 rated or chosen profiles from 4,374 respondents, in up to 4 tasks of 2 profiles varying on 3 attributes.

About this table

DescriptionGerman adults from a Bilendi online panel (December 2022, n=4,374) compared 4 pairs of plans for border measures at Germany's borders, varying measure, neighbouring country and justification. Outcomes: choice of the plan they would more likely support, and a 0-10 rating of each plan.
ReferenceLipps, J., Sczepanski, R., & Malet, G. (2025). Understanding preferences over borders. International Studies Quarterly, 69(1), sqaf003.
DOI10.1093/isq/sqaf003
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/H6KD6R

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

Respondents4,374
Rows (one per respondent, task and profile)34,992
Tasks per respondent (most)4
Profiles per task2
Attributes3
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representspolicy
CountryDE
Language shownde
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionunknown

Outcomes:

choiceWhich of the two plans are you more likely to support? (paraphrase) [choice, forced]
ratingRating of each plan on an 11-point scale (paraphrase) [rating, 0 (unknown) to 10 (unknown)]

Columns

attr_aimattr_countryattr_measurechoicecov_border_open_closecov_european_integrationcov_gendercov_immigration_generalcov_left_rightcov_migration_backgroundcov_statecov_urban_ruralcov_vote_intentionidprofileratingtask

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("lipps_2025_border_measures", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("lipps_2025_border_measures", source="conj")

How to cite

@article{Lipps_2024, title={Understanding Preferences over Borders}, volume={69}, ISSN={1468-2478}, url={http://dx.doi.org/10.1093/isq/sqaf003}, DOI={10.1093/isq/sqaf003}, number={1}, journal={International Studies Quarterly}, publisher={Oxford University Press (OUP)}, author={Lipps, Jana and Sczepanski, Ronja and Malet, Giorgio}, year={2024}, 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