10,160 rated or chosen profiles from 508 respondents, in up to 10 tasks of 2 profiles varying on 6 attributes.
| Description | US MTurk respondents (n = 508) chose between two hypothetical candidates for Congress in each of 10 tasks; candidates varied in party, ideology, occupation, race, religion and sex. |
|---|---|
| Reference | Madrid, R., Merolla, J. L., Yanez Ruiz, A., & Schroedel, J. R. (2022). The relevance of religion for political office: Voter bias toward candidates from different religious backgrounds. Political Behavior, 44, 981-1001. |
| DOI | 10.1007/s11109-022-09782-6 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/XV8GCK |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 508 |
|---|---|
| Rows (one per respondent, task and profile) | 10,160 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 2 |
| Attributes | 6 |
| 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 | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two candidates would you prefer to see as your congressional representative? (paraphrase; export text truncated: 'Which of these two candidates would you prefer to see as your congressional...') [choice, forced] |
|---|
attr_ideologyattr_occupationattr_partyattr_raceattr_religionattr_sexattrpos_ideologyattrpos_occupationattrpos_partyattrpos_raceattrpos_religionattrpos_sexchoicecov_agecov_gender_codecov_party_id_codeidprofiletask
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("madrid_2022_religious_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("madrid_2022_religious_candidates", source="conj")
@article{Madrid_2022, title={The Relevance of Religion for Political Office: Voter Bias Toward Candidates from Different Religious Backgrounds}, volume={44}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-022-09782-6}, DOI={10.1007/s11109-022-09782-6}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Madrid, Raul and Merolla, Jennifer L. and Yanez Ruiz, Aldo and Schroedel, Jean Reith}, year={2022}, month=Mar, pages={981–1001} }
| 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 |