1,991 rated or chosen profiles from 1,991 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

Description	1,991 US online respondents each read one foreign-policy scenario (president: unnamed, Obama or Trump; action: stay out, back down, justify; 9 cells) and rated their approval of the president.
Reference	Evers, M. M., Fisher, A., & Schaaf, S. D. (2019). Is there a Trump effect? An experiment on political polarization and audience costs. Perspectives on Politics, 17(2), 433-452.
DOI	10.1017/S1537592718003390
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/ZELWZ7

Notes

Conjoint table (irw_conjoint_2). Single-vignette factorial survey (president x action, 3x3): rating = presidential approval, 0 = strongly disapprove to 4 = strongly approve (value labels; question wording not in the deposit). Levels are the authors' short treatment labels, not the scenario text. All 1,991 respondents kept (cov_attention_pass = the authors' manipulation-check flag; the authors analyse 1,699); id is the row number.

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	1,991
Rows (one per respondent, task and profile)	1,991
Tasks per respondent (most)	1
Profiles per task	1
Attributes	2

Design

Topic	foreign policy security
A profile represents	scenario
Country	US
Language shown	en
Language of stored levels	en
Task order	inferred from row order
Profile position	inferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

rating	Presidential Approval (value-label name; question wording not in the deposit) (paraphrase) [rating, 0 (Strongly disapprove) to 4 (Strongly approve)]

Columns

attr_actionattr_presidentcov_agecov_attention_passcov_educationcov_gendercov_party_id7idprofileratingtask

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("evers_2019_audience_costs", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("evers_2019_audience_costs", source="conj")

How to cite

@article{Evers_2019, title={Is There a Trump Effect? An Experiment on Political Polarization and Audience Costs}, volume={17}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592718003390}, DOI={10.1017/s1537592718003390}, number={02}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Evers, Miles M. and Fisher, Aleksandr and Schaaf, Steven D.}, year={2019}, month=May, pages={433–452} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0