29,364 rated or chosen profiles from 1,856 respondents, in up to 8 tasks of 2 profiles varying on 6 attributes.

About this table

Description	Party executive-board members in Austria, Germany and Switzerland (n=1,856; 1,343 in the authors' 1,389-elite sample) made 8 forced choices between two fictitious aspirants for a prominent list place, varying age, gender, education, experience, issue and relative ideology, with a randomized share of women already on the list.
Reference	Gatto, M. A. C., & Radojevic, M. (2025). Choosing women: Party elites' preferences in the candidate selection process. British Journal of Political Science, 55, e36.
DOI	10.1017/S0007123424000723
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/XRNZC7

Notes

Conjoint table (irw_conjoint). choice = "Based on the information provided, please select the aspirant that you would prefer to place on a prominent placement in your party's candidate list" (article's English rendering; Kandidat A/B, forced, no opt-out). Fully randomized profiles; the share of women already on the list (10-50%) is randomized per task and stored as trial_list_share. Ideology levels are relative ('Etwas linker/rechter/moderater als Sie') with wording that depends on the respondent's left/centre/right group. 1,856 respondents incl. non-selectors; cov_in_authors_sample = the article's 1,389 (1,343 with at least one choice).

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

Size and shape

Respondents	1,856
Rows (one per respondent, task and profile)	29,364
Tasks per respondent (most)	8
Profiles per task	2
Attributes	6
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	AT, DE, CH
Language shown	de, fr
Language of stored levels	de
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Based on the information provided, please select the aspirant that you would prefer to place on a prominent placement in your party's candidate list. Please assume your chosen candidate will represent your party and your voters in the next parliament. (translated) [choice, forced]

Columns

attr_ageattr_educationattr_experienceattr_genderattr_ideologyattr_issuechoicecov_age_groupcov_countrycov_economic_positioncov_educationcov_gendercov_ideology_groupcov_in_authors_samplecov_left_rightcov_migrationcov_party_familycov_party_quotaidprofiletasktrial_list_share

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("gatto_2025_candidate_selection", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("gatto_2025_candidate_selection", source="conj")

How to cite

@article{Gatto_2025, title={Choosing Women: Party elites’ preferences in the candidate selection process}, volume={55}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123424000723}, DOI={10.1017/s0007123424000723}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Gatto, Malu A. C. and Radojevic, Marco}, year={2025} }

Version and provenance

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