10,030 rated or chosen profiles from 337 respondents, in up to 15 tasks of 2 profiles varying on 6 attributes.
One of 2 tables from the same source; this one is the students table. The others are listed under Related tables.
| Description | Students at a large US public university (Sept 2019; n=337) compared 15 pairs of hypothetical job offers described by salary, firm size, location type, workplace culture, the state's presidential partisanship and a state democratic-backsliding event; outcomes are a forced choice of offer and a 5-point rating of each. |
|---|---|
| Reference | Nelson, M. J., & Witko, C. (2022). The economic costs of democratic backsliding? Backsliding and state location preferences of US job seekers. The Journal of Politics, 84(2), 1233-1238. |
| DOI | 10.1086/715601 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/YOBUVS |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 337 |
|---|---|
| Rows (one per respondent, task and profile) | 10,030 |
| Tasks per respondent (most) | 15 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | labour hiring |
|---|---|
| A profile represents | product service |
| 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:
| choice | select which of the two jobs they prefer (paraphrase) [choice, forced] |
|---|---|
| rating | rate the attractiveness of each job offer on a 5-point scale (paraphrase) [rating, 1 (Not at all attractive) to 5 (Very attractive)] |
attr_backslidingattr_cultureattr_locationattr_salaryattr_sizeattr_state_partisanshipchoicecov_birth_yearcov_party_id7_codeidprofileratingtask
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("nelson_2022_backsliding_students", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("nelson_2022_backsliding_students", source="conj")
@article{Nelson_2022, title={The Economic Costs of Democratic Backsliding? Backsliding and State Location Preferences of US Job Seekers}, volume={84}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/715601}, DOI={10.1086/715601}, number={2}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Nelson, Michael J. and Witko, Christopher}, year={2022}, month=Apr, pages={1233–1238} }
| 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 |