15,964 rated or chosen profiles from 1,999 respondents, in up to 4 tasks of 2 profiles varying on 4 attributes.
| Description | Bihar (India) voters chose between pairs of hypothetical MLA candidates varying in gender, caste/religion (surname), campaign appeal and, in two pairs, party (BJP/RJD); 1,999 respondents, 4 pairs each, binary vote choice. |
|---|---|
| Reference | Hankla, C. R., Banerjee, S., Thomas, A., & Banerjee, A. (2022). Electing women in ethnically divided societies: Candidates, campaigns, and intersectionality in Bihar, India. Comparative Political Studies, 56(9), 1433-1469. |
| DOI | 10.1177/00104140221141838 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/RSCG2F |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,999 |
|---|---|
| Rows (one per respondent, task and profile) | 15,964 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | IN |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): in the partisan pairs (tasks 3-4) one candidate is always BJP and the other RJD (instrument p. 9); gender, surname and appeal drawn from 16 candidate scripts |
| Task order | inferred from row order |
| Profile position | inferred from row order |
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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | If these two candidates were running against each other for MLA, and the election were held today, which would you vote for? [choice, forced] |
|---|
attr_appealattr_genderattr_partyattr_surnamechoicecov_agecov_caste_discriminationcov_constituencycov_education_codecov_forward_castecov_gendercov_muslimcov_obccov_scidprofiletask
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("hankla_2022_bihar_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hankla_2022_bihar_candidates", source="conj")
@article{Hankla_2022, title={Electing Women in Ethnically Divided Societies: Candidates, Campaigns, and Intersectionality in Bihar, India}, volume={56}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140221141838}, DOI={10.1177/00104140221141838}, number={9}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Hankla, Charles and Banerjee, Sayan and Thomas, Anjali and Banerjee, Arindam}, year={2022}, month=Nov, pages={1433–1469} }
| 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 |