miller_2024_news_selection

40,976 rated or chosen profiles from 1,815 respondents, in up to 13 tasks of 2 profiles varying on 2 attributes.

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

About this table

DescriptionUS MTurk workers (2021; 1,815 respondents) chose which of two news articles (headline and source: Fox News, MSNBC, USA Today) they would prefer to read over 12 pairs, randomly assigned to a forced-choice arm or an arm allowing 'Neither', then answered one repeated pair in the other format; a replication of Mummolo (2016).
ReferenceMiller, D. R., & Ziegler, J. (2024). Preferential abstention in conjoint experiments. Research & Politics, 11(4).
DOI10.1177/20531680241299329
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/JQOPNW

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

Respondents1,815
Rows (one per respondent, task and profile)40,976
Tasks per respondent (most)13
Profiles per task2
Attributes2
Tasks with no profile chosen2,577

Design

Topicpolitical communication
A profile representsmessage
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWould you prefer to read News Selection A or News Selection B? [choice, opt-out allowed]

Columns

attr_headlineattr_sourceattrpos_headlineattrpos_sourcechoicecov_birth_yearcov_cigarettescov_dem_strengthcov_educationcov_gendercov_health_insurancecov_health_jobcov_hispaniccov_ideologycov_incomecov_ind_leancov_losing_weightcov_party_idcov_racecov_rep_strengthcov_studentidprofiletasktrial_armtrial_formattrial_repeat_of

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("miller_2024_news_selection", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("miller_2024_news_selection", source="conj")

How to cite

@article{Miller_2024, title={Preferential abstention in conjoint experiments}, volume={11}, ISSN={2053-1680}, url={http://dx.doi.org/10.1177/20531680241299329}, DOI={10.1177/20531680241299329}, number={4}, journal={Research &amp; Politics}, publisher={SAGE Publications}, author={Miller, David R. and Ziegler, Jeffrey}, year={2024}, month=Oct }

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