bischof_2026_simple_language_high

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.

About this table

DescriptionPaired 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).
ReferenceBischof, D., & Senninger, R. (2026). Can simple language affect voters' political knowledge and their beliefs about politicians? The Journal of Politics, 88(4), 1419-1436.
DOI10.1086/736693
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/XT6RRU

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents7,024
Rows (one per respondent, task and profile)41,988
Tasks per respondent (most)3
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryDE
Language shownde
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich of the two members of parliament do you prefer? (paraphrase; codebook: 'whether the respondent chose the candidate') [choice, forced]

Columns

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0