9,464 rated or chosen profiles from 947 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.
| Description | 947 German online-panel respondents in six regions compared 5 pairs of candidates described by surname, party, gender, occupation (white/blue collar) and residence (city or town/village). Outcomes: which candidate is chosen, plus 1-5 ratings of trustworthiness, local knowledge, district representativeness and election chances. |
|---|---|
| Reference | Leininger, A., & Swalve, T. (2026). What's in a name? Name recognition, place-based identities, and candidate success. The Journal of Politics. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/r22wyy |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 947 |
|---|---|
| Rows (one per respondent, task and profile) | 9,464 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 5 |
| 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 | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which candidate is chosen over the alternative in the pair (chosencand; exact question not deposited) (paraphrase) [choice, forced] |
|---|---|
| rating_district_representative | Perceived representativeness of the district by the candidate, 1-5 (paraphrase) [rating, 1 (unknown) to 5 (unknown)] |
| rating_election_chance | Perceived election chances of the candidate, 1-5 (paraphrase) [rating, 1 (unknown) to 5 (unknown)] |
| rating_local_knowledge | Perceived local knowledge of the candidate, 1-5 (paraphrase) [rating, 1 (unknown) to 5 (unknown)] |
| rating_trustworthy | Perceived trustworthiness of the candidate, 1-5 (paraphrase) [rating, 1 (unknown) to 5 (unknown)] |
attr_genderattr_occupationattr_partyattr_residenceattr_surnamechoicecov_agecov_attach_birthcov_attach_localknowcov_education_levelcov_gendercov_local_borncov_local_identity_indexcov_regioncov_urbanidprofilerating_district_representativerating_election_chancerating_local_knowledgerating_trustworthytask
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("leininger_2026_name_recognition", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("leininger_2026_name_recognition", source="conj")
@misc{https://doi.org/10.7910/dvn/r22wyy,
doi = {10.7910/DVN/R22WYY},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/R22WYY},
author = {Leininger, Arndt and Swalve, Tilko},
keywords = {Social Sciences, Local candidates, ethnic minority candidates, name recognition, voter behavior, candidate characteristics},
title = {Replication Data for: What's in a name? Name recognition, place-based identities, and candidate success},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |