6,216 rated or chosen profiles from 1,037 respondents, in up to 3 tasks of 2 profiles varying on 10 attributes.
| Description | 1,037 US Democrats and Republicans each chose between 3 pairs of hypothetical candidates showing party plus 1, 3, 5, 7 or 9 further attributes (gender, profession, age, family, race, military service, education, abortion and spending stances), testing how partisan voting changes with profile information. |
|---|---|
| Reference | Peterson, E. (2017). The role of the information environment in partisan voting. Journal of Politics, 79(4), 1191-1204. |
| DOI | 10.1086/692740 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/VOF11U |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,037 |
|---|---|
| Rows (one per respondent, task and profile) | 6,216 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 10 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): every task pairs one Democrat and one Republican candidate (3,108 of 3,108 tasks; party rebuilt from copartisan); non-uniform level weights, undocumented: Male 67% of shown genders, Lawyer 30% of professions, White 49% of races, No military service 75%, Married with 1-2 children 55% of family statuses, Ivy League 29% of education; number of non-party attributes shown varies by task (1/3/5/7/9, trial_information_condition) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
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.
Outcomes:
| choice | unknown [choice, forced] |
|---|
attr_abortionattr_ageattr_educationattr_family_statusattr_genderattr_military_serviceattr_partyattr_professionattr_raceattr_spendingchoicecov_abortion_opinioncov_party_idcov_spending_opinionidprofiletasktrial_information_condition
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("peterson_2017_information_environment", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("peterson_2017_information_environment", source="conj")
@article{Peterson_2017, title={The Role of the Information Environment in Partisan Voting}, volume={79}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/692740}, DOI={10.1086/692740}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Peterson, Erik}, year={2017}, month=Oct, pages={1191–1204} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |