17,190 rated or chosen profiles from 1,719 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.

About this table

Description	British YouGov respondents (February 2015; n=1,719) each made 5 forced choices between two hypothetical MPs varying in local roots, party and ideological position, time spent on constituency work, main policy influence, policy interests and gender (pronoun).
Reference	Campbell, R., Cowley, P., Vivyan, N., & Wagner, M. (2019). Why friends and neighbors? Explaining the electoral appeal of local roots. The Journal of Politics, 81(3), 937-951.
DOI	10.1086/703131
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/C15VOD

Notes

Conjoint table (irw_conjoint). choice: "Based on this information, which ONE of these two MPs would you prefer to have as your MP?" (MP 1 / MP 2, response required, no opt-out). Attributes assigned randomly and independently (full factorial of 768 profiles). Constituency, browser/device and derived recodes dropped; N = 1,719 matches the article and local-roots AMCEs (10-13 points vs living elsewhere) reproduce.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,719
Rows (one per respondent, task and profile)	17,190
Tasks per respondent (most)	5
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	GB
Language shown	en
Language of stored levels	en
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Based on this information, which ONE of these two MPs would you prefer to have as your MP? [choice, forced]

Columns

attr_genderattr_influenceattr_local_rootsattr_party_positionattr_policyattr_timechoicecov_agecov_educationcov_gendercov_interestcov_local_carecov_local_feelcov_local_yearscov_lr_concov_lr_labcov_lr_selfcov_party_idcov_regioncov_socialgradecov_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 needed Browse on Redivisexplore and query Croissant 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_local_roots", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("campbell_2019_local_roots", source="conj")

How to cite

@article{Campbell_2019, title={Why Friends and Neighbors? Explaining the Electoral Appeal of Local Roots}, volume={81}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/703131}, DOI={10.1086/703131}, number={3}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Campbell, Rosie and Cowley, Philip and Vivyan, Nick and Wagner, Markus}, year={2019}, month=July, pages={937–951} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0