41,988 rated or chosen profiles from 7,024 respondents, in up to 3 tasks of 2 profiles varying on 9 attributes.
One of 2 tables from the same source; this one is the high table. The others are listed under Related tables.
| Description | Paired conjoint (high-information version) in which 7,024 respondents in Germany chose between two hypothetical members of parliament in up to 3 pairs; attributes are sex, age, party, motivation, days in constituency, occupation, experience, issue position and language sophistication. Outcome: preferred MP (choice). |
|---|---|
| Reference | Bischof, D., & Senninger, R. (2026). Can simple language affect voters' political knowledge and their beliefs about politicians? The Journal of Politics, 88(4), 1419-1436. |
| DOI | 10.1086/736693 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/XT6RRU |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 7,024 |
|---|---|
| Rows (one per respondent, task and profile) | 41,988 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 9 |
| 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 | 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 members of parliament do you prefer? (paraphrase; codebook: 'whether the respondent chose the candidate') [choice, forced] |
|---|
attr_ageattr_daysattr_experienceattr_motivationattr_occupationattr_partyattr_positionattr_sexattr_sophisticationchoiceidprofiletask
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("bischof_2026_simple_language_high", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bischof_2026_simple_language_high", source="conj")
@article{Bischof_2026, title={Can Simple Language Affect Voters’ Political Knowledge and Their Beliefs About Politicians?}, volume={88}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/736693}, DOI={10.1086/736693}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Bischof, Daniel and Senninger, Roman}, year={2026}, month=Oct, pages={1419–1436} }
| 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 |