31,526 rated or chosen profiles from 2,003 respondents, in up to 8 tasks of 2 profiles varying on 9 attributes.
| Description | US respondents (n = 2,003 with answers) each compared 8 pairs of hypothetical candidates in their party's primary (independents assigned to either), with race, gender, age, ideology, experience, personableness, speaking ability and two district features randomized, choosing which candidate is more electable and which they would vote for. |
|---|---|
| Reference | Hassell, H. J. G., & Visalvanich, N. (2023). Perceptions of electability: Candidate (and voter) ideology, race, and gender. Political Behavior. |
| DOI | 10.1007/s11109-023-09909-3 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/HUMCVU |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,003 |
|---|---|
| Rows (one per respondent, task and profile) | 31,526 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 9 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): attr_ideology levels depend on trial_primary (Democratic primary: Very Liberal/Liberal/Moderate; Republican: Moderate/Conservative/Very Conservative); attr_district_pct_white and attr_district_incumbent_won are set per pair (identical on both profiles of a task) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
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:
| choice_electable | Which of the two candidates is more electable? (paraphrase) [choice, forced] |
|---|---|
| choice_vote | Which of the two candidates would you vote for? (paraphrase) [choice, forced] |
attr_ageattr_district_incumbent_wonattr_district_pct_whiteattr_experienceattr_genderattr_ideologyattr_personablenessattr_raceattr_speakingchoice_electablechoice_votecov_agecov_attention_politicscov_born_uscov_duration_seccov_education_codecov_gender_codecov_ideologycov_incomecov_midterm_votecov_party_idcov_pid_leancov_pid_strengthcov_pid5cov_polactivity_1cov_polactivity_2cov_polactivity_3cov_polactivity_4cov_polactivity_5cov_polactivity_6cov_racecov_urbanruralidprofiletasktrial_primary
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.
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("hassell_2023_electability", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hassell_2023_electability", source="conj")
@article{Hassell_2024, title={Perceptions of Electability: Candidate (and Voter) Ideology, Race, and Gender}, volume={46}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-023-09909-3}, DOI={10.1007/s11109-023-09909-3}, number={4}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Hassell, Hans J. G. and Visalvanich, Neil}, year={2024}, month=Jan, pages={2075–2098} }
| 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 |