jager_2023_security_liberties

2,045 rated or chosen profiles from 2,045 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.

About this table

DescriptionFactorial vignette (4x3x3x3, one vignette per respondent): 2,045 German adults (Bilendi & respondi panel, June 2022) read a terrorist-attack scenario varying the attackers' motivation, personal threat, the party proposing a surveillance policy and whether the policy targets everyone or suspects; outcomes are support for the policy and four further 1-10 ratings.
ReferenceJäger, F. (2023). Security vs. civil liberties: How citizens cope with threat, restriction, and ideology. Frontiers in Political Science, 4, 1006711.
DOI10.3389/fpos.2022.1006711
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/2ZOPHQ

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

Respondents2,045
Rows (one per respondent, task and profile)2,045
Tasks per respondent (most)1
Profiles per task1
Attributes4

Design

Topiccrime justice policing
A profile representsscenario
CountryDE
Language shownunknown
Language of stored levelsen
Task orderinferred from row order
Profile positioninferred from row order

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

Outcomes:

ratingTo which degree do you support the surveillance measure? (paraphrase) [rating, 1 (do not support it at all) to 10 (strongly support it)]
rating_concern_personalHow concerned are you personally about you, yourself or a family member being the victim of a terrorist attack in the future? (paraphrase) [rating, 1 (not concerned at all) to 10 (very concerned)]
rating_concern_societyHow concerned are you that there will be a terrorist attack on German soil in the future? (paraphrase) [rating, 1 (not concerned at all) to 10 (very concerned)]
rating_efficacyDo you feel this policy would be effective to reduce future terrorist attacks? (paraphrase) [rating, 1 (not effective at all) to 10 (very effective)]
rating_restrictDo you feel the surveillance measure would restrict you, your friends or family? (paraphrase) [rating, 1 (do not feel restricted at all) to 10 (would feel strongly restricted)]

Columns

attr_motivationattr_partyattr_targetattr_threatcov_agecov_age_groupcov_duration_seccov_educ_catcov_environment1cov_environment2cov_environment3cov_extremism1cov_extremism2cov_fearfulness1cov_fearfulness2cov_gendercov_left_rightcov_party_pref_AfDcov_party_pref_CDUCSUcov_party_pref_FDPcov_party_pref_Greenscov_party_pref_Leftcov_party_pref_SPDcov_propensity_violence_1cov_propensity_violence_2cov_propensity_violence_3cov_propensity_violence_4cov_t_fear_soc_priorcov_vote_intentionidprofileratingrating_concern_personalrating_concern_societyrating_efficacyrating_restricttask

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("jager_2023_security_liberties", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("jager_2023_security_liberties", source="conj")

How to cite

@article{J_ger_2023, title={Security vs. civil liberties: How citizens cope with threat, restriction, and ideology}, volume={4}, ISSN={2673-3145}, url={http://dx.doi.org/10.3389/fpos.2022.1006711}, DOI={10.3389/fpos.2022.1006711}, journal={Frontiers in Political Science}, publisher={Frontiers Media SA}, author={Jäger, Felix}, year={2023}, month=Jan }

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