5,175 rated or chosen profiles from 863 respondents, in up to 6 tasks of 1 profile varying on 10 attributes.
| Description | US adults (n = 863, NORC AmeriSpeak, TESS) rated six hypothetical people, each described by gender, age, ethnicity, partisanship, career, religion, education, hobby and whether they agree or disagree with a randomly drawn value statement, on favorability, neighbor acceptability and trust to look after the respondent's house. |
|---|---|
| Reference | Jung, J.-H., & Clifford, S. (2024). Varieties of values: Moral values are uniquely divisive. American Political Science Review. |
| DOI | 10.1017/S0003055424000443 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MLJQQN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 863 |
|---|---|
| Rows (one per respondent, task and profile) | 5,175 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 1 |
| Attributes | 10 |
| Topic | social identity interpersonal |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating_favorability | How positive or negative are your feelings toward this person? (paraphrase; label cut at 80 characters) [rating, 1 (Very positive) to 7 (Very negative)] |
|---|---|
| rating_house | Imagine that you need someone to look after your house (wording cut at 80 characters in the label): how comfortable would you be with this person? (paraphrase) [rating, 1 (Not comfortable at all) to 5 (Completely comfortable)] |
| rating_neighbor | How happy or unhappy would you be to have this person as a neighbor? (paraphrase; label cut at 80 characters) [rating, 1 (Very happy) to 5 (Very unhappy)] |
attr_ageattr_careerattr_educationattr_ethnicityattr_genderattr_hobbyattr_partisanshipattr_religionattr_value_stanceattr_value_statementcov_agecov_educationcov_gendercov_party_id7cov_race_ethnicitycov_survey_weightidprofilerating_favorabilityrating_houserating_neighbortask
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.
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("jung_2024_value_conjoint", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("jung_2024_value_conjoint", source="conj")
@article{JUNG_2024, title={Varieties of Values: Moral Values Are Uniquely Divisive}, volume={119}, ISSN={1537-5943}, url={http://dx.doi.org/10.1017/S0003055424000443}, DOI={10.1017/s0003055424000443}, number={1}, journal={American Political Science Review}, publisher={Cambridge University Press (CUP)}, author={JUNG, JAE-HEE and CLIFFORD, SCOTT}, year={2024}, month=May, pages={462–478} }
| 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 |