hobolt_2024_authoritarian_reactions

40,120 rated or chosen profiles from 4,012 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionEnglish adults (Deltapoll, February 2021; 4,012 respondents) chose between and rated 5 pairs of hypothetical parliamentary candidates, each involved in a controversy (authoritarian rhetoric or another misdemeanour), varying how and by whom other MPs reacted, gender, party and ministerial experience.
ReferenceHobolt, S. B., & Osnabrügge, M. (2024). Countering authoritarian behavior in democracies. Political Behavior, 47(2), 781-800.
DOI10.1007/s11109-024-09971-5
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/EBSUNP

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

Respondents4,012
Rows (one per respondent, task and profile)40,120
Tasks per respondent (most)5
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryGB
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceIf you had to say, which of the two candidates do you prefer? [choice, forced]
ratingOn a scale from 1 to 7, where 1 indicates that you would never support this candidate, and 7 indicates that you would always support this candidate, where would you place each of the candidates? [rating, 1 (Never support) to 7 (Always support)]

Columns

attr_controversyattr_genderattr_ministerattr_partyattr_reactionattr_reaction_actorchoicecov_agecov_threat_affaircov_threat_courtscov_threat_exclude_journalistscov_threat_expensescov_threat_ignored_messagescov_threat_online_harassmentcov_threat_parliamentcov_threat_threat_britainidprofileratingtask

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("hobolt_2024_authoritarian_reactions", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hobolt_2024_authoritarian_reactions", source="conj")

How to cite

@article{Hobolt_2024, title={Countering Authoritarian Behavior in Democracies}, volume={47}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-024-09971-5}, DOI={10.1007/s11109-024-09971-5}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Hobolt, Sara B. and Osnabrügge, Moritz}, year={2024}, month=Sept, pages={781–800} }

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