15,806 rated or chosen profiles from 7,903 respondents, in up to 1 tasks of 2 profiles varying on 6 attributes.
| Description | Paired candidate-vignette conjoint on ethnic-minority candidates in Britain: 7,903 British Election Study Internet Panel (wave 11, April-May 2017) respondents chose between two hypothetical local candidates varying party, ethnic background (white British/Pakistani/black Caribbean), gender, immigration stance, law-enforcement priority and route into politics; half were randomly offered a 'neither' option. |
|---|---|
| Reference | Martin, N. S., & Blinder, S. (2021). Biases at the ballot box: How multiple forms of voter discrimination impede the descriptive and substantive representation of ethnic minority groups. Political Behavior, 43(4), 1487-1510. |
| DOI | 10.1007/s11109-020-09596-4 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/SUDLEG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 7,903 |
|---|---|
| Rows (one per respondent, task and profile) | 15,806 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 1,603 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | GB |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which of these candidates would you rather have as your MP? [choice, opt-out allowed] |
|---|
attr_ethnicityattr_genderattr_immigrationattr_law_enforcementattr_partyattr_routechoicecov_ethnicitycov_ft_asiancov_ft_blackcov_immig_enriches_culturecov_religioncov_religion_denominationcov_vote_intentionidprofiletasktrial_neither_offered
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("martin_2021_minority_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("martin_2021_minority_candidates", source="conj")
@article{Martin_2020, title={Biases at the Ballot Box: How Multiple Forms of Voter Discrimination Impede the Descriptive and Substantive Representation of Ethnic Minority Groups}, volume={43}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-020-09596-4}, DOI={10.1007/s11109-020-09596-4}, number={4}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Martin, Nicole S. and Blinder, Scott}, year={2020}, month=Feb, pages={1487–1510} }
| 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 |