dahlweg_2026_citizen_collaboration

2,976 rated or chosen profiles from 744 respondents, in up to 4 tasks of 1 profile varying on 3 attributes.

About this table

DescriptionPublic servants in Germany (n = 379) and Taiwan (n = 365) rated 4 citizen candidates each for a citizen initiative, varying the candidate's traits (prototypical vs antiprototypical), gender and position (leader vs member), with policy field and collaboration type varied between respondents; outcome: willingness to collaborate, 1-7.
ReferenceDahlweg, A., Guo, Y., Liu, H. K., & Vogel, R. (2026). Public servants' implicit citizenship theories and willingness to collaborate with citizens: A cross-country study. Public Performance & Management Review.
LicenceCC BY 4.0
Source datahttps://doi.org/10.5281/zenodo.23160049

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

Respondents744
Rows (one per respondent, task and profile)2,976
Tasks per respondent (most)4
Profiles per task1
Attributes3

Design

Topicpublic administration
A profile representsperson
CountryDE, TW
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

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

Outcomes:

ratingWillingness to collaborate with the candidate (paraphrase) [rating, 1 (very unlikely) to 7 (very likely)]

Columns

attr_characterattr_genderattr_positioncov_agecov_central_levelcov_countrycov_gender_codecov_political_orientationcov_studyingcov_typical_causing_efforcov_typical_constitutionacov_typical_democraticcov_typical_equalcov_typical_freecov_typical_friendlycov_typical_gratefulcov_typical_impatientcov_typical_independentcov_typical_nationalcov_typical_nicecov_typical_obligatedcov_typical_requestingcov_typical_taxablecov_typical_unfriendlycov_university_degreecov_workfield_psidprofileratingtasktrial_interactiontrial_policy_field

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("dahlweg_2026_citizen_collaboration", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("dahlweg_2026_citizen_collaboration", source="conj")

How to cite

@misc{https://doi.org/10.5281/zenodo.23160049,
  doi = {10.5281/ZENODO.23160049},
  url = {https://zenodo.org/doi/10.5281/zenodo.23160049},
  author = {Dahlweg, Anne and Guo, Yuwei and Liu, Helen K. and Vogel, Rick},
  keywords = {implicit citizenship theories, citizen–state interaction, coproduction, conjoint experiment, public servants, prototypes, Germany, Taiwan, willingness to collaborate, public administration},
  language = {en},
  title = {Replication data for "Public servants' implicit citizenship theories and willingness to collaborate with citizens: A cross-country study"},
  publisher = {Zenodo},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0