jankowski_2024_list_ranking_austria

About this table

Notes

• Conjoint table (irw_conjoint). Two-stage design with one task of nine aspirant profiles: rating_deselected = ticked under "Wen würden Sie nicht nominieren?" (exactly three of nine; 1 = deselected), rating_list_position = list position 1-6 assigned to each kept profile in stage 2 (1 = top; NA for deselected). Each respondent saw only one of the two dual-candidacy attributes (regional vs state/federal list); the other is (not shown). Attribute order randomized per respondent and recorded. Qualtrics metadata, free text and the years respondents joined their party or executive dropped.

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

Size and shape

Design

Outcomes:

Columns

attr_ageattr_genderattr_intraparty_positionattr_parliament_experienceattr_party_deviationattr_personal_votesattr_policy_expertiseattr_regional_listattr_state_federal_listattrpos_ageattrpos_genderattrpos_intraparty_positionattrpos_parliament_experienceattrpos_party_deviationattrpos_personal_votesattrpos_policy_expertiseattrpos_regional_listattrpos_state_federal_listcov_birth_decadecov_board_districtcov_board_federalcov_board_statecov_duration_seccov_gendercov_influence_federalcov_influence_regionalcov_influence_statecov_lr_partycov_lr_selfcov_partycov_selects_federalcov_selects_nonecov_selects_regionalcov_selects_statecov_strategyidprofilerating_deselectedrating_list_positiontask

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

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("jankowski_2024_list_ranking_austria", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("jankowski_2024_list_ranking_austria", source="conj")

How to cite

@article{Jankowski_2025, title={Selecting and ranking female candidates under PR: Evidence from a two‐stage conjoint experiment with party elites}, volume={64}, ISSN={1475-6765}, url={http://dx.doi.org/10.1111/1475-6765.12726}, DOI={10.1111/1475-6765.12726}, number={3}, journal={European Journal of Political Research}, publisher={Cambridge University Press (CUP)}, author={Jankowski, Michael and Rehmert, Jochen}, year={2025}, month=Aug, pages={1016–1038} }

Version and provenance