hobolt_2021_brexit_bbc_dg

16,350 rated or chosen profiles from 1,635 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

One of 2 tables from the same source; this one is the bbc_dg table. The others are listed under Related tables.

About this table

DescriptionBritish online-panel respondents (2017, n = 1,635) chose, in 5 pairs, which of two hypothetical applicants they would prefer as the next Director General of the BBC; applicants varied in name, age, BBC experience, degree, 2017 party support, EU-referendum side and former occupation.
ReferenceHobolt, S. B., Leeper, T. J., & Tilley, J. (2021). Divided by the vote: Affective polarization in the wake of the Brexit referendum. British Journal of Political Science, 51(4), 1476-1493.
DOI10.1017/S0007123420000125
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/35M5CV

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

Respondents1,635
Rows (one per respondent, task and profile)16,350
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topiclabour hiring, social identity interpersonal
A profile representsperson
CountryGB
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): names drawn without replacement from 11 (10 used per respondent): the two names in a pair always differ and no name repeats across a respondent's 5 pairs; all other attributes drawn independently per profile and pair
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceWhich of the two applicants would you prefer as the next Director General of the BBC? [choice, forced]

Columns

attr_ageattr_degreeattr_euattr_experienceattr_nameattr_occupationattr_politicsattrpos_ageattrpos_degreeattrpos_euattrpos_experienceattrpos_occupationattrpos_politicschoicecov_agecov_age_groupcov_brexit_identitycov_educationcov_gendercov_party_idcov_regioncov_social_gradecov_survey_weightcov_vote_2017cov_vote_eurefidprofiletask

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_2021_brexit_bbc_dg", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hobolt_2021_brexit_bbc_dg", source="conj")

How to cite

@article{Hobolt_2020, title={Divided by the Vote: Affective Polarization in the Wake of the Brexit Referendum}, volume={51}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123420000125}, DOI={10.1017/s0007123420000125}, number={4}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Hobolt, Sara B. and Leeper, Thomas J. and Tilley, James}, year={2020}, month=July, pages={1476–1493} }

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