kennedy_2023_hr_partner_s2

10,172 rated or chosen profiles from 1,047 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

One of 2 tables from the same source; this one is the s2 table. The others are listed under Related tables.

About this table

Description1,047 US survey respondents (study 2) compared pairs of hypothetical foreign countries in 5 tasks, choosing one and judging each acceptable or not; profiles vary 8 attributes: ally/adversary (a), dc, ms, human-rights record (hr), economic effect (ec), regime (gov), nuclear status (nuc), treaty (tr). Attribute stems and level tags are the deposit's (no codebook).
ReferenceKennedy, R. (2023). Do Americans care about human rights? [Data set]. Harvard Dataverse.
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/oy8ezy

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

Respondents1,047
Rows (one per respondent, task and profile)10,172
Tasks per respondent (most)5
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topicforeign policy security
A profile representsplace
CountryUS
Language shownen
Language of stored levelsunknown
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceunknown (choose one of two profiles; wording not in deposit) [choice, forced]
rating_acceptableunknown ('acceptable' 0/1 judgement of each profile; wording not in deposit) [rating, 0 (not acceptable (presumed)) to 1 (acceptable (presumed))]

Columns

attr_aattr_dcattr_ecattr_govattr_hrattr_msattr_nucattr_trchoiceidprofilerating_acceptabletask

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("kennedy_2023_hr_partner_s2", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kennedy_2023_hr_partner_s2", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/oy8ezy,
  doi = {10.7910/DVN/OY8EZY},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OY8EZY},
  author = {Kennedy, Ryan},
  keywords = {Social Sciences},
  title = {Do Americans Care About Human Rights?},
  publisher = {Harvard Dataverse},
  year = {2023}
}

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