cozza_2025_party_leaders

About this table

Notes

• Conjoint table (irw_conjoint_2). Five forced choices per pair ('Which of these leaders earned their position?', '... would be more effective in passing legislation?', '... will work harder on behalf of their party?', '... would be more effective in unifying the party?', '... would help their party win more seats in the next election?'), plus choice_vote (vote; wording not deposited) and rating_lr (0-10 left-right placement of each party, wording not deposited); answers not forced, so some NA. Restriction: 23 years as MP never with age 38 or 46. Task 5 repeats task 1 with profiles swapped (trial_repeat_of). Per-profile trust item dropped (text only). 1,195 respondents with any answer of 1,198 in the article.

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

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

Columns

attr_ageattr_candidatesattr_experienceattr_genderattr_marginattr_orientationattr_pollingattr_selectoratechoice_earnedchoice_legislationchoice_party_workchoice_seatschoice_unifychoice_votecov_agecov_attention_passcov_bias_1cov_bias_2cov_bias_3cov_bias_4cov_bias_5cov_bias_6cov_bias_timingcov_duration_seccov_educationcov_education_agecov_gendercov_lr_selfcov_manipulation_checkcov_most_important_charcov_regionidprofilerating_lrtasktrial_repeat_oftrial_time_click_counttrial_time_first_clicktrial_time_last_clicktrial_time_page_submit

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("cozza_2025_party_leaders", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("cozza_2025_party_leaders", source="conj")

How to cite

@article{Cozza_2025, title={A Rainbow Ceiling? Sexual Orientation and Party Leader Evaluations}, volume={55}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123425100823}, DOI={10.1017/s0007123425100823}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Cozza, Joseph Francesco and Di Landro, Gonzalo and Aldrich, Andrea and Somer-Topcu, Zeynep}, year={2025} }

Version and provenance