5,304 rated or chosen profiles from 885 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.
| Description | US job seekers (n = 885) compared pairs of hypothetical state-government jobs (3 pairs each) described by governing party, elite polarization, salary, workforce size, location and a backsliding or other state-government action; they chose the preferred job and rated each job 1-7. |
|---|---|
| Reference | Miller, S. M., & Gilad, S. (2026). Democratic backsliding, elite polarization, and job seekers' pursuit of government employment. Regulation & Governance. |
| DOI | 10.1111/rego.70138 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/KCEBF9 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 885 |
|---|---|
| Rows (one per respondent, task and profile) | 5,304 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | labour hiring, democracy institutions |
|---|---|
| A profile represents | product service |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which of the two state-government jobs do you prefer? (paraphrase) [choice, forced] |
|---|---|
| rating | How attractive is working for this state government? (paraphrase) [rating, 1 (unknown) to 7 (unknown)] |
attr_backslidingattr_government_partyattr_job_locationattr_polarizationattr_salaryattr_workforcechoicecov_party_ididprofileratingtask
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("miller_2026_backsliding_jobs", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("miller_2026_backsliding_jobs", source="conj")
@article{Miller_2026, title={Democratic Backsliding, Elite Polarization, and Job Seekers’ Pursuit of Government Employment}, ISSN={1748-5991}, url={http://dx.doi.org/10.1111/rego.70138}, DOI={10.1111/rego.70138}, journal={Regulation & Governance}, publisher={Wiley}, author={Miller, Susan M. and Gilad, Sharon}, year={2026}, month=Mar }
| 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 |