21,824 rated or chosen profiles from 405 respondents, in up to 27 tasks of 2 profiles varying on 5 attributes.
| Description | University of Milan students (2012 and 2013 waves, n=405) each chose which of two hypothetical candidates they would vote for in a fixed set of 27 pairs shown in random order; candidates varied in education, income, corruption record, and positions on taxes/social services and same-sex couples' rights (Italian text). |
|---|---|
| Reference | Franchino, F., & Zucchini, F. (2015). Voting in a multidimensional space: A conjoint analysis employing valence and ideology attributes of candidates. Political Science Research and Methods, 3(2), 221-241. |
| DOI | 10.1017/psrm.2014.24 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/26639 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 405 |
|---|---|
| Rows (one per respondent, task and profile) | 21,824 |
| Tasks per respondent (most) | 27 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | IT |
| Language shown | it |
| Language of stored levels | it |
| Randomization restrictions | yes (stated by the source): fixed design: every respondent saw the same 27 pairs (54 profiles) listed in the instrument, in randomized order; only those combinations occur |
| 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 | Per ogni coppia, deve scegliere il candidato per il quale Lei voterebbe. PER CHI VOTEREBBE? [choice, forced] |
|---|
attr_corruptionattr_educationattr_incomeattr_same_sex_rightsattr_taxes_serviceschoicecov_agecov_birth_yearcov_degreecov_gendercov_importance_educationcov_importance_incomecov_importance_integritycov_importance_same_sexcov_importance_taxes_servicescov_iseeucov_italiancov_left_rightcov_lives_milancov_pol_interestcov_school_gradecov_secondary_schoolcov_survey_wavecov_votedcov_work_hoursidprofiletasktrial_contest
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("franchino_2015_candidate_valence", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("franchino_2015_candidate_valence", source="conj")
@article{Franchino_2014, title={Voting in a Multi-dimensional Space: A Conjoint Analysis Employing Valence and Ideology Attributes of Candidates}, volume={3}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2014.24}, DOI={10.1017/psrm.2014.24}, number={2}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Franchino, Fabio and Zucchini, Francesco}, year={2014}, month=Oct, pages={221–241} }
| 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 |