17,140 rated or chosen profiles from 1,714 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
One of 3 tables from the same source; this one is the amended_2018 table. The others are listed under Related tables.
| Description | German voting-eligible adults from the Payback Online Panel, May/June 2018 (amended-design arm, n=1,714), chose between 5 pairs of fictitious candidates without party labels, varying positions on euro-area cooperation, social housing, tariffs and referendums and a first and second policy priority. Outcome: which candidate they would rather vote for. |
|---|---|
| Reference | Neuner, F. G., & Wratil, C. (2022). The populist marketplace: Unpacking the role of "thin" and "thick" ideology. Political Behavior, 44(2), 551-574. |
| DOI | 10.1007/s11109-020-09629-y |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/Z66XXP |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,714 |
|---|---|
| Rows (one per respondent, task and profile) | 17,140 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | DE |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | yes (stated by the source): first and second priority drawn from the same list and cannot be identical |
| Task order | inferred from row order |
| 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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which candidate in each pair would you rather cast your vote for? (paraphrase) [choice, forced] |
|---|
attr_euroattr_housingattr_priority_firstattr_priority_secondattr_referendumsattr_tariffschoicecov_eu_membershipcov_eu_unificationcov_globalizationcov_immigrantscov_refugees_warcov_survey_weightcov_tax_richcov_thin_pop_1cov_thin_pop_2cov_thin_pop_3cov_thin_pop_4cov_thin_pop_5cov_thin_pop_6cov_thin_pop_7cov_thin_pop_8cov_vote_intentionidprofiletask
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("neuner_2022_populist_amended_2018", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("neuner_2022_populist_amended_2018", source="conj")
@article{Neuner_2020, title={The Populist Marketplace: Unpacking the Role of “Thin” and “Thick” Ideology}, volume={44}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-020-09629-y}, DOI={10.1007/s11109-020-09629-y}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Neuner, Fabian G. and Wratil, Christopher}, year={2020}, month=July, pages={551–574} }
| 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 |