goehring_2024_unilateral_policy

4,349 rated or chosen profiles from 4,349 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.

About this table

Description4,349 US adults (Lucid panel, Sept 2020) each read one vignette of President Obama or Trump pursuing one of 15 policies by stating a position only, working with Congress or signing an executive order, and rated the president's handling of the topic and overall presidential approval on 7-point scales.
ReferenceGoehring, B., & Lowande, K. (2024). Public responses to unilateral policymaking. Journal of Experimental Political Science.
DOI10.1017/xps.2024.3
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/VXH3BK

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

Respondents4,349
Rows (one per respondent, task and profile)4,349
Tasks per respondent (most)1
Profiles per task1
Attributes3

Design

Topicdemocracy institutions
A profile representsscenario
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

rating_president_approvalOverall approval of the president (7-point disapprove-approve scale) (paraphrase) [rating, 1 (Strongly disapprove) to 7 (Strongly approve)]
rating_topic_handlingAssessment of the president's handling of the policy topic (7-point disapprove-approve scale) (paraphrase) [rating, 1 (Strongly disapprove) to 7 (Strongly approve)]

Columns

attr_actionattr_presidentattr_topiccov_agecov_duration_seccov_educationcov_gendercov_hispaniccov_incomecov_party_idcov_racecov_regionidprofilerating_president_approvalrating_topic_handlingtask

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("goehring_2024_unilateral_policy", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("goehring_2024_unilateral_policy", source="conj")

How to cite

@article{Goehring_2024, title={Public Responses to Unilateral Policymaking}, volume={12}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/xps.2024.3}, DOI={10.1017/xps.2024.3}, number={1}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Goehring, Benjamin and Lowande, Kenneth}, year={2024}, month=Apr, pages={86–98} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0