60,380 rated or chosen profiles from 3,019 respondents, in up to 5 tasks of 4 profiles varying on 8 attributes.
| Description | 3,019 German panel respondents (wave 4, attention-check passers) each saw 5 screens of four Bundestag candidates, one each from Die Linke, SPD, CDU and AfD, varying experience, reason for running, chance of winning, refugee, border, pension and tax positions; they chose one candidate and rated each 1-7. Outcomes: choice and rating. |
|---|---|
| Reference | Chou, W., Dancygier, R., Egami, N., & Jamal, A. A. (2021). Competing for loyalists? How party positioning affects populist radical right voting. Comparative Political Studies, 54(12), 2226-2260. |
| DOI | 10.1177/0010414021997166 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/BQDMAD |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,019 |
|---|---|
| Rows (one per respondent, task and profile) | 60,380 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 4 |
| Attributes | 8 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | DE |
| Language shown | de |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): level sets differ by party: AfD candidate experience only 'In Bundestag for the first time'/'Previously served one term', refugee policy only 'complete stop'/'upper limit of 200,000'; every screen has exactly 1 or 2 candidates 'expected to win the support of many voters' (chance_winning 'many voters' share 0.34-0.41 by party, not 0.5) |
| Task order | recorded in the deposit |
| Profile position | unknown |
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 | Which of these candidates would you choose? (paraphrase; codebook: 'R chose candidate of [party] on conjoint screen') [choice, forced] |
|---|---|
| rating | How would you rate this candidate? (paraphrase; codebook: 'How R rated candidate of [party] on conjoint screen', 1 least favorable to 7 most favorable) [rating, 1 (least favorable) to 7 (most favorable)] |
attr_border_policyattr_chance_winningattr_experienceattr_partyattr_pension_policyattr_reasonattr_refugee_policyattr_tax_policychoicecov_birth_yearcov_education_yearscov_gendercov_incomecov_occupationcov_statecov_survey_weightcov_vote_2017_secondcov_vote_intentionidprofileratingtask
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("chou_2021_party_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("chou_2021_party_candidates", source="conj")
@article{Chou_2021, title={Competing for Loyalists? How Party Positioning Affects Populist Radical Right Voting}, volume={54}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/0010414021997166}, DOI={10.1177/0010414021997166}, number={12}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Chou, Winston and Dancygier, Rafaela and Egami, Naoki and Jamal, Amaney A.}, year={2021}, month=Mar, pages={2226–2260} }
| 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 |