campbell_2019_dissent_frequency

18,990 rated or chosen profiles from 1,899 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.

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

About this table

DescriptionBritish YouGov respondents (December 2012; n=1,899) each made 5 forced choices between two hypothetical MPs varying in party, tenure, days spent on constituency work, how often the MP speaks out or votes against the party leadership, and sex (pronoun).
ReferenceCampbell, R., Cowley, P., Vivyan, N., & Wagner, M. (2019). Legislator dissent as a valence signal. British Journal of Political Science, 49(1), 105-128.
DOI10.1017/S0007123416000223
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/3YCVOF

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

Respondents1,899
Rows (one per respondent, task and profile)18,990
Tasks per respondent (most)5
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryGB
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
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:

choiceBased on this information, which ONE of these two MPs would you prefer to have as your MP in the House of Commons? [choice, forced]

Columns

attr_constituency_daysattr_dissentattr_genderattr_partyattr_tenurechoicecov_age_groupcov_age_left_educationcov_follow_politicscov_gendercov_income_groupcov_lr_self_groupcov_pid_strengthcov_qual_codecov_regioncov_social_gradecov_survey_weightidprofiletask

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("campbell_2019_dissent_frequency", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("campbell_2019_dissent_frequency", source="conj")

How to cite

@article{Campbell_2016, title={Legislator Dissent as a Valence Signal}, volume={49}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123416000223}, DOI={10.1017/s0007123416000223}, number={1}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Campbell, Rosie and Cowley, Philip and Vivyan, Nick and Wagner, Markus}, year={2016}, month=June, pages={105–128} }

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