carlson_2023_free_expression

13,803 rated or chosen profiles from 2,777 respondents, in up to 5 tasks of 1 profile varying on 8 attributes.

About this table

DescriptionUS adults (Ipsos KnowledgePanel, summer 2021; n=2,777) rated 5 single-profile political-conversation scenarios varying the partner's relationship, party, knowledge, news source, engagement, race and gender and the setting (face-to-face vs social media); the outcome is a 5-point rating of how likely they would be to express their true opinion.
ReferenceCarlson, T. N., & Settle, J. E. (2023). Freedom of expression in interpersonal interactions. PS: Political Science & Politics, 56(2), 245-249.
DOI10.1017/S1049096522001342
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/FNHEVD

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

Respondents2,777
Rows (one per respondent, task and profile)13,803
Tasks per respondent (most)5
Profiles per task1
Attributes8

Design

Topicsocial identity interpersonal
A profile representsscenario
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): conditional levels: the 'mainstream partisan' news level names Fox News for (Strong) Republican partners, MSNBC for (Strong) Democrat, Fox News or MSNBC at random (not recorded) for Independent; race Latino/a shown as Latino for male and Latina for female partners. Level weights: pre-registration says every attribute is shown with equal probability, but the data are clearly unequal: news partisan 66% / mainstream 17% / fringe 17% (expected 1/3 each); party Independent 24% vs ~19% for each other level
Task orderrecorded in the deposit
Profile positioninferred from row order

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingImagine that you were having a conversation about politics in the scenario described above. How likely would you be to express your true opinions in that conversation? [rating, 1 (Very unlikely) to 5 (Very likely)]

Columns

attr_contextattr_engagementattr_genderattr_knowledgeattr_newsattr_partyattr_raceattr_relationshipcov_agecov_gendercov_local_conversationcov_party_idcov_political_participationcov_race_ethnicitycov_social_media_newscov_trust_mediaidprofileratingtask

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("carlson_2023_free_expression", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("carlson_2023_free_expression", source="conj")

How to cite

@article{Carlson_2023, title={Freedom of Expression in Interpersonal Interactions}, volume={56}, ISSN={1537-5935}, url={http://dx.doi.org/10.1017/S1049096522001342}, DOI={10.1017/s1049096522001342}, number={2}, journal={PS: Political Science &amp; Politics}, publisher={Cambridge University Press (CUP)}, author={Carlson, Taylor N. and Settle, Jaime E.}, year={2023}, month=Jan, pages={245–249} }

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