5,020 rated or chosen profiles from 502 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.
| Description | 502 Romanian eligible voters (non-probability sample in 30 localities, 2016, before the local elections) each chose between 5 pairs of hypothetical mayoral candidates described by 7 attributes: gender, incumbency, corruption investigation, vote buying, threats to non-supporters, policy pledges and income. Outcome: vote choice, with a neither option. |
|---|---|
| Reference | Mares, I., & Visconti, G. (2020). Voting for the lesser evil: Evidence from a conjoint experiment in Romania. Political Science Research and Methods, 8(2), 315-328. |
| DOI | 10.1017/psrm.2019.12 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MJKCHZ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 502 |
|---|---|
| Rows (one per respondent, task and profile) | 5,020 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 257 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | RO |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): every pair has exactly one incumbent ('currently serving as mayor') and one candidate without experience as mayor; order within the pair randomized (appendix Table A1 fn 1); no rule stated for other attributes |
| 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 | Choice between the two candidates in a local (mayoral) election, 'Electoral Choice' (paraphrase) [choice, opt-out allowed] |
|---|
attr_experienceattr_genderattr_incomeattr_investigationattr_public_policyattr_threatattr_vote_buyingchoicecov_agecov_birth_yearcov_countycov_educationcov_ethnicity_codecov_gendercov_income_codecov_party_codecov_urbanidprofiletask
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("mares_2020_lesser_evil", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mares_2020_lesser_evil", source="conj")
@article{Mares_2019, title={Voting for the lesser evil: evidence from a conjoint experiment in Romania}, volume={8}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2019.12}, DOI={10.1017/psrm.2019.12}, number={2}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Mares, Isabela and Visconti, Giancarlo}, year={2019}, month=June, pages={315–328} }
| 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 |