12,630 rated or chosen profiles from 1,263 respondents, in up to 5 tasks of 2 profiles varying on 10 attributes.
One of 2 tables from the same source; this one is the de table. The others are listed under Related tables.
| Description | 1,263 German Kieskompas panel respondents (April 2023) chose between 5 pairs of school-curriculum reform proposals from civic groups in a hypothetical consultation; profiles varied an AI-generated face (gender, age, ethnicity), LGBT+/trans marker, group name, proposal, justification, national support and a foreign country. |
|---|---|
| Reference | López Ortega, A., & Turnbull-Dugarte, S. J. (2025). Selectively (il)liberal: Theory and evidence on nativist disidentification. Political Science Research and Methods, 14(3), 789-815. |
| DOI | 10.1017/psrm.2025.10066 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/GJWWEE |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,263 |
|---|---|
| Rows (one per respondent, task and profile) | 12,630 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 10 |
| Tasks with no profile chosen | 0 |
| Topic | other |
|---|---|
| A profile represents | policy |
| Country | DE |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | yes (stated by the source): no face, group name, country, reasoning or proposal repeated across a respondent's five tasks (article); in the data faces/names/countries are unique for ~97-99% of respondents, reasoning and proposals repeat (fewer levels than profiles); level shares: lgbt_marker No marker ~60%, LGBT+ and Trans marker ~20% each (data, no source) |
| Task order | recorded in the deposit |
| 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.
Outcomes:
| choice | Which of these two proposals do you support? (paraphrase) [choice, forced] |
|---|
attr_countryattr_faceattr_group_nameattr_lgbt_markerattr_national_supportattr_photo_ageattr_photo_ethnicityattr_photo_genderattr_proposalattr_reasoningchoicecov_attention_checkcov_birth_yearcov_educationcov_gendercov_immigration_culturecov_immigration_economycov_immigration_placetolivecov_left_rightcov_sexualitycov_survey_weightidprofiletask
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("lopezortega_2025_curriculum_de", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("lopezortega_2025_curriculum_de", source="conj")
@article{L_pez_Ortega_2025, title={Selectively (il)liberal: theory and evidence on nativist disidentification}, volume={14}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2025.10066}, DOI={10.1017/psrm.2025.10066}, number={3}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={López Ortega, Alberto and Turnbull-Dugarte, Stuart J.}, year={2025}, month=Dec, pages={789–815} }
| 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 |