2,952 rated or chosen profiles from 296 respondents, in up to 5 tasks of 2 profiles varying on 10 attributes.

About this table

Description	German party-convention delegates (CDU, SPD, FDP, Die LINKE, Greens) chose between two hypothetical candidates described by 10 attributes (age, gender, education, occupation, district nomination, legislative experience, membership length, intra-party ideology, party office, activity). 296 delegates, up to 5 paired tasks; forced choice.
Reference	Rehmert, J. (2022). Party elites' preferences in candidates: Evidence from a conjoint experiment. Political Behavior, 44.
DOI	10.1007/s11109-020-09651-0
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/IRUDXK

Notes

Conjoint table (irw_conjoint). Outcome: forced choice between two candidates (wording not in the deposit; paraphrase), no opt-out. Level shares are unequal and dependent: legal and farming occupations appear almost only with Abitur, and a 6-year membership dominates for candidates with legislative experience; no pair is fully absent, the scheme is undocumented, and AMCEs should condition on these pairs as the authors do. Attribute text is German (the .dta value labels); 50 respondents with no conjoint answers dropped.

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	Which of the two candidates would you prefer for the list position? (paraphrase) [choice, forced]

Columns

attr_activityattr_ageattr_districtattr_educationattr_experienceattr_genderattr_ideologyattr_occupationattr_party_lengthattr_party_officechoicecov_agecov_birth_yearcov_education_codecov_gendercov_joined_partycov_leg_experiencecov_lr_owncov_lr_partycov_partycov_party_officecov_time_delegatecov_universityidprofiletask

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("rehmert_2022_party_delegates", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("rehmert_2022_party_delegates", source="conj")

How to cite

@article{Rehmert_2020, title={Party Elites’ Preferences in Candidates: Evidence from a Conjoint Experiment}, volume={44}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-020-09651-0}, DOI={10.1007/s11109-020-09651-0}, number={3}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Rehmert, Jochen}, year={2020}, month=Oct, pages={1149–1173} }

Respondents	296
Rows (one per respondent, task and profile)	2,952
Tasks per respondent (most)	5
Profiles per task	2
Attributes	10
Tasks with no profile chosen	0

IRW version	v607
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 v47.0

rehmert_2022_party_delegates