10,210 rated or chosen profiles from 1,021 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

Description	1,021 Danish YouGov panel respondents (2 x 5 pairs) compared hypothetical Folketing candidates varying gender, age, occupation, party and three kinds of localism (where raised/lives, time spent on local issues, local visibility); outcomes are a 1-5 likelihood of voting for each candidate and a preferred-candidate choice with a don't-know option.
Reference	Nyholt, N. (2024). Why do voters prefer local candidates? Evidence from a Danish conjoint survey experiment. Political Behavior, 46, 2313-2332.
DOI	10.1007/s11109-024-09919-9
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/TM6R4J

Notes

Conjoint table (irw_conjoint). rating = "How likely is it that you would vote for Candidate A [B]?" reversed from the source to 1 = very unlikely .. 5 = very likely (Ved ikke set missing); choice = "Hvilken kandidat foretrækker du?" with a Ved ikke opt-out (1,801 of 5,105 tasks have no chosen profile). Behavioral and symbolic localism were omitted for a random subset of profiles ("(not shown)"); five long localism levels are truncated at 80 characters in the deposit's labels. Gender, age, occupation and party follow the 2019 candidate distribution (non-uniform). All 1,021 respondents kept; the article analyses 779 after dropping speeders (cov_duration_sec < 180 s, 195 s with the prime, trial_prime).

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

Design

Topic	candidate choice
A profile represents	person
Country	DK
Language shown	da
Language of stored levels	da
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Hvilken kandidat foretrækker du? [choice, opt-out allowed]
rating	How likely is it that you would vote for Candidate A [B]? (translated) [rating, 1 (Meget usandsynligt) to 5 (Meget sandsynligt)]

Columns

attr_ageattr_behavioral_localismattr_descriptive_localismattr_genderattr_occupationattr_partyattr_symbolic_localismchoicecov_agecov_duration_seccov_educationcov_education3cov_gendercov_house_typecov_household_incomecov_local1cov_local2cov_local3cov_occupationcov_partisanship1cov_partisanship3cov_partisanship4cov_party_idcov_personal_incomecov_regioncov_survey_weightcov_urbancov_vote_intentionidprofileratingtasktrial_prime

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("nyholt_2024_local_candidates", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("nyholt_2024_local_candidates", source="conj")

How to cite

@article{Nyholt_2024, title={Why Do Voters Prefer Local Candidates? Evidence from a Danish Conjoint Survey Experiment}, volume={46}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-024-09919-9}, DOI={10.1007/s11109-024-09919-9}, number={4}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Nyholt, Niels}, year={2024}, month=Feb, pages={2313–2332} }

Respondents	1,021
Rows (one per respondent, task and profile)	10,210
Tasks per respondent (most)	5
Profiles per task	2
Attributes	7
Tasks with no profile chosen	1,801

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

nyholt_2024_local_candidates