miller_2022_blame_crisis

2,530 rated or chosen profiles from 845 respondents, in up to 3 tasks of 1 profile varying on 3 attributes.

About this table

Description845 US MTurk respondents each read three stylized crisis vignettes (bridge collapse, budget shortfall, heat wave) about an elected executive, with randomized executive response (control, blame claim, blame deflect), crisis severity (low, moderate, high) and executive party relative to the respondent. Outcomes: approval of handling and vote likelihood, both 1-4.
ReferenceMiller, D. R., & Reeves, A. (2022). Pass the buck or the buck stops here? The public costs of claiming and deflecting blame in managing crises. Journal of Public Policy, 42(1), 63-91.
DOI10.1017/S0143814X21000039
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/s0xveq

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

Respondents845
Rows (one per respondent, task and profile)2,530
Tasks per respondent (most)3
Profiles per task1
Attributes3

Design

Topiccorruption accountability
A profile representsscenario
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

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

Outcomes:

rating_handlingApproval of the executive's handling of the crisis, four-point (paraphrase) [rating, 1 (strongly disapprove (inferred from binary coding)) to 4 (strongly approve (inferred from binary coding))]
rating_voteLikelihood of voting for the executive in the next election, four-point (paraphrase) [rating, 1 (very unlikely (inferred from binary coding)) to 4 (very likely (inferred from binary coding))]

Columns

attr_executive_partyattr_executive_responseattr_severitycov_age_codecov_educationcov_gendercov_ideologycov_incomecov_party_idcov_raceidprofilerating_handlingrating_votetasktrial_scenario

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("miller_2022_blame_crisis", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("miller_2022_blame_crisis", source="conj")

How to cite

@article{Miller_2021, title={Pass the buck or the buck stops here? The public costs of claiming and deflecting blame in managing crises}, volume={42}, ISSN={1469-7815}, url={http://dx.doi.org/10.1017/S0143814X21000039}, DOI={10.1017/s0143814x21000039}, number={1}, journal={Journal of Public Policy}, publisher={Cambridge University Press (CUP)}, author={Miller, David and Reeves, Andrew}, year={2021}, month=May, pages={63–91} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0