6,200 rated or chosen profiles from 310 respondents, in up to 10 tasks of 2 profiles varying on 7 attributes.

About this table

Description	German party members (local party figures; Qualtrics e-mail survey, November 2018) chose between two constituency candidates in 5 tasks for the Bundestag and 5 for a state parliament, with candidates varying in local party work, local political experience, years living in the district, dissent from the party line, gender, education and age. 310 respondents.
Reference	Berz, J., & Jankowski, M. (2022). Local preferences in candidate selection: Evidence from a conjoint experiment among party leaders in Germany. Party Politics, 28(6), 1136-1149.
DOI	10.1177/13540688211041770
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/E2QITV

Notes

Conjoint table (irw_conjoint). choice: "Welchen Kandidat bevorzugen Sie als Wahlkreiskandidaten für die Bundestagswahl?" (or "... für die Landtagswahl?"), forced choice between two candidates, 10 tasks (two blocks of 5 in random order; trial_parliament). 7 attributes in German; attribute row order randomized per respondent (attrpos_). Qualtrics IDs re-keyed, free text dropped; left-right end points exported as text mapped to 0/10.

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

Design

Topic	candidate choice
A profile represents	person
Country	DE
Language shown	de
Language of stored levels	de
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Welchen Kandidat bevorzugen Sie als Wahlkreiskandidaten für die Bundestagswahl? / Welchen Kandidat bevorzugen Sie als Wahlkreiskandidaten für die Landtagswahl? [choice, forced]

Columns

attr_ageattr_dissentattr_educationattr_genderattr_lives_in_districtattr_local_bodiesattr_local_experienceattrpos_ageattrpos_dissentattrpos_educationattrpos_genderattrpos_lives_in_districtattrpos_local_bodiesattrpos_local_experiencechoicecov_activitycov_agecov_bundeslandcov_gendercov_left_right_partycov_left_right_selfcov_mandatecov_membership_yearscov_party_membercov_satisfaction_federalcov_satisfaction_localcov_satisfaction_stateidprofiletasktrial_parliament

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 needed Browse on Redivisexplore and query Croissant 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("berz_2022_candidate_selection", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("berz_2022_candidate_selection", source="conj")

How to cite

@article{Berz_2022, title={Local preferences in candidate selection: Evidence from a conjoint experiment among party leaders in Germany}, volume={28}, ISSN={1460-3683}, url={http://dx.doi.org/10.1177/13540688211041770}, DOI={10.1177/13540688211041770}, number={6}, journal={Party Politics}, publisher={SAGE Publications}, author={Berz, Jan and Jankowski, Michael}, year={2022}, month=Jan, pages={1136–1149} }

Respondents	310
Rows (one per respondent, task and profile)	6,200
Tasks per respondent (most)	10
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

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

berz_2022_candidate_selection