39,650 rated or chosen profiles from 3,965 respondents, in up to 5 tasks of 2 profiles varying on 4 attributes.

About this table

Description	Chilean Netquest panelists (October-November 2021) chose which of two hypothetical presidential candidates they would vote for, or neither, in 5 pairs varying coalition membership versus independence, occupation, age and gender. 3,965 respondents.
Reference	Argote, P., & Visconti, G. (2023). Anti-elite attitudes and support for independent candidates. PLOS ONE, 18(10), e0292098.
DOI	10.1371/journal.pone.0292098
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/XGHULL

Notes

Conjoint table (irw_conjoint). choice: vote for candidate 1, candidate 2 or neither (wording not deposited); neither = 0 on both profiles, opt_out = yes (6,908 of 19,825 tasks; 646 respondents chose neither in every task). Independent shown 50% of the time. Coalition levels are the authors' labels (Center-Right, Center-Left, Left, Right, Independents), not the displayed coalition names. Priming arm in trial_priming. Panel IDs re-keyed; cell and rake weights kept, analyses unweighted.

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	3,965
Rows (one per respondent, task and profile)	39,650
Tasks per respondent (most)	5
Profiles per task	2
Attributes	4
Tasks with no profile chosen	6,908

Design

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

Outcomes:

choice	Which of these two candidates would you vote for? (paraphrase) [choice, opt-out allowed]

Columns

attr_ageattr_coalitionattr_genderattr_occupationchoicecov_agecov_anti_elitecov_duration_seccov_gendercov_survey_weightcov_weight_rakecov_will_of_peopleidprofiletasktrial_design_versiontrial_priming

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("argote_2023_independent_candidates", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("argote_2023_independent_candidates", source="conj")

How to cite

@article{Argote_2023, title={Anti-elite attitudes and support for independent candidates}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0292098}, DOI={10.1371/journal.pone.0292098}, number={10}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Argote, Pablo and Visconti, Giancarlo}, editor={Henríquez, Pablo}, year={2023}, month=Oct, pages={e0292098} }

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