berz_2026_crisis_accountability

8,186 rated or chosen profiles from 824 respondents, in up to 5 tasks of 2 profiles varying on 9 attributes.

About this table

DescriptionAdult UK Prolific respondents (2023) compared 5 pairs of short news reports about crises under two governments, varying 9 attributes (crisis type, economic and household damage, expert warnings, prevention spending, opposition and prime-minister behaviour, speed and size of relief). 824 respondents (812 complete); three forced choices per pair: re-elect, handled better, more responsible.
ReferenceBerz, J. (2026). Crises and electoral accountability: How do individual characteristics of crises affect performance and responsibility evaluations among voters? Government and Opposition, 61, e19.
DOI10.1017/gov.2026.10043
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/IXPGSG

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

Respondents824
Rows (one per respondent, task and profile)8,186
Tasks per respondent (most)5
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topiccorruption accountability
A profile representsscenario
CountryGB
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich government do you prefer to re-elect? [choice, forced]
choice_handledWhich government has handled their crisis better? [choice, forced]
choice_responsibleWhich government is more responsible for the severity of their crisis? [choice, forced]

Columns

attr_crisis_typeattr_damage_economyattr_damage_householdsattr_expert_predictionattr_opposition_behaviourattr_pm_behaviourattr_prevention_spendingattr_relief_amountattr_response_speedchoicechoice_handledchoice_responsiblecov_covid_hospitalcov_duration_seccov_educationcov_finishedcov_floodedcov_job_losscov_knowledge_1cov_knowledge_2cov_knowledge_3cov_party_idcov_party_identifieridprofiletask

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("berz_2026_crisis_accountability", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("berz_2026_crisis_accountability", source="conj")

How to cite

@article{Berz_2026, title={Crises and Electoral Accountability: How Do Individual Characteristics of Crises Affect Performance and Responsibility Evaluations among Voters?}, volume={61}, ISSN={1477-7053}, url={http://dx.doi.org/10.1017/gov.2026.10043}, DOI={10.1017/gov.2026.10043}, journal={Government and Opposition}, publisher={Cambridge University Press (CUP)}, author={Berz, Jan}, year={2026} }

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