16,842 rated or chosen profiles from 853 respondents, in up to 10 tasks of 2 profiles varying on 12 attributes.
| Description | 853 US county party chairs (Democratic and Republican) judged 10 pairs of hypothetical state-legislative primary candidates, each shown by name plus four randomly drawn attributes (background, issue positions, or a descriptor). Outcome: which candidate would fare best in their party's primary in their area. |
|---|---|
| Reference | Doherty, D., Dowling, C. M., & Miller, M. G. (2019). Do local party chairs think women and minority candidates can win? Evidence from a conjoint experiment. The Journal of Politics, 81(4), 1282-1297. |
| DOI | 10.1086/704698 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/SFTMNO |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 853 |
|---|---|
| Rows (one per respondent, task and profile) | 16,842 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 2 |
| Attributes | 12 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): each profile shows 4 of 10 attribute rows: 3 background characteristics drawn with equal probability, then a 4th that is another background characteristic (1/3), one of 4 issues (1/3) or a compromise/principles descriptor (1/3); level weights: Married 50%, Single 20%, Remarried 20%, Currently Divorced 10%; military None 75%, each of 5 branches 5%; children 0 5%, 1 40%, 2 35%, 3 15%, 4 5%; years in area 5-20 5% each, Entire life 35%; political experience None 40%, Town Council/County Board/Mayor/School Board 14% each, Sheriff 4%; other descriptors equal |
| 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 | Which candidate do you think would fare best in a [Democratic/Republican] primary in the area for which you are responsible as a party chairperson? [choice, forced] |
|---|
attr_abortionattr_childrenattr_food_stampsattr_friends_describe_asattr_gun_lawsattr_marital_statusattr_military_serviceattr_nameattr_occupation_classattr_paid_family_leaveattr_political_experienceattr_years_in_areachoicecov_advise_congresscov_agecov_connect_donorscov_democratcov_education_codecov_federal_requestscov_gendercov_incomecov_race_blackcov_race_hispaniccov_race_othercov_race_whitecov_recruit_candidatescov_state_local_requestsidprofiletask
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("doherty_2019_party_chairs", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("doherty_2019_party_chairs", source="conj")
@article{Doherty_2019, title={Do Local Party Chairs Think Women and Minority Candidates Can Win? Evidence from a Conjoint Experiment}, volume={81}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/704698}, DOI={10.1086/704698}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Doherty, David and Dowling, Conor M. and Miller, Michael G.}, year={2019}, month=Oct, pages={1282–1297} }
| 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 |