7,344 rated or chosen profiles from 2,448 respondents, in up to 3 tasks of 1 profile varying on 3 attributes.
| Description | Factorial vignette on satisfaction with government: 2,448 US adults (YouGov, May 2023) each rated three hypothetical countries whose government's responsiveness (political equality vs inequality) and economic and moral policy positions (very/somewhat liberal/conservative) were randomized; outcome is satisfaction with the government, 0-10. |
|---|---|
| Reference | Mathisen, R. (2026). Coincidental representation: How congruence and influence shape public satisfaction with government. Political Behavior. |
| DOI | 10.1007/s11109-026-10195-y |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/X0J2JI |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,448 |
|---|---|
| Rows (one per respondent, task and profile) | 7,344 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | democracy institutions |
|---|---|
| A profile represents | place |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | As an ordinary citizen of Country A, how satisfied would you be with the government? Please answer on a scale from 0 to 10, where 0 means 'Extremely dissatisfied' and 10 means 'Extremely satisfied'. [rating, 0 (Extremely dissatisfied) to 10 (Extremely satisfied)] |
|---|
attr_economicattr_influenceattr_moralcov_age_groupcov_econ_conservativecov_econ_liberalcov_educationcov_equal_saycov_gendercov_incomecov_moral_conservativecov_moral_liberalcov_party_idcov_racecov_survey_weightidprofileratingtask
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("mathisen_2026_satisfaction", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mathisen_2026_satisfaction", source="conj")
@article{Mathisen_2026, title={Coincidental Representation: How Congruence and Influence shape Public Satisfaction with Government}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-026-10195-y}, DOI={10.1007/s11109-026-10195-y}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Mathisen, Ruben B.}, year={2026}, month=Aug }
| 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 |