34,599 rated or chosen profiles from 6,940 respondents, in up to 5 tasks of 1 profile varying on 8 attributes.
| Description | 6,940 verified US political donors each rated up to 5 vignettes of a House candidate, varying district lean, opponent extremity and incumbency, candidate ideology relative to the donor, and four viability cues, in primary or general-election context. Outcome: whether the donor is very likely or almost certain to contribute (0/1). |
|---|---|
| Reference | Meisels, M., Clinton, J. D., & Huber, G. A. (2024). Giving to the extreme? Experimental evidence on donor response to candidate and district characteristics. British Journal of Political Science. |
| DOI | 10.1017/s0007123423000650 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/q1x3rz |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 6,940 |
|---|---|
| Rows (one per respondent, task and profile) | 34,599 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 1 |
| Attributes | 8 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | Likelihood of contributing to the vignette candidate, reported by the authors as 1 = very likely or almost certain to contribute, 0 otherwise (paraphrase; raw question not deposited) [rating, 0 (less than very likely to contribute) to 1 (very likely or almost certain to contribute)] |
|---|
attr_districtattr_endorsementsattr_enthusiasmattr_ideologyattr_moneyattr_opponent_extremityattr_opponent_incumbencyattr_prior_losscov_age_groupcov_educationcov_gendercov_net_worthcov_party_idcov_race_whitecov_survey_weightidprofileratingtasktrial_election
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("meisels_2024_donor_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("meisels_2024_donor_candidates", source="conj")
@article{Meisels_2024, title={Giving to the Extreme? Experimental Evidence on Donor Response to Candidate and District Characteristics}, volume={54}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/s0007123423000650}, DOI={10.1017/s0007123423000650}, number={3}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Meisels, Mellissa and Clinton, Joshua D. and Huber, Gregory A.}, year={2024}, month=Jan, pages={851–873} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |