1,116 rated or chosen profiles from 1,116 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.
| Description | Name vignette experiment: 1,116 Danish adults (YouGov) each read one description of a fictitious Folketing candidate named Søren, Susanne, Mohammed or Fatima (candidate sex x ethnicity) and rated the candidate as a politician (0-10). |
|---|---|
| Reference | Laustsen, L., & Gothreau, C. (2023). Diskriminerer danske vælgere kvindelige og etniske minoritetskandidater? Resultater fra et surveyeksperiment. Politica, 55(4), 349-369. |
| DOI | 10.7146/politica.v55i4.141535 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/UD0LDQ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,116 |
|---|---|
| Rows (one per respondent, task and profile) | 1,116 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 2 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | DK |
| Language shown | da |
| Language of stored levels | da |
| Randomization restrictions | yes (stated by the source): the pronoun (Hun/Han) is determined by the name (Susanne, Fatima = Hun); candidate sex and ethnicity are both carried by the one name, four names in total (273-284 per name) |
| 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:
| rating | Vi vil nu bede dig angive, hvad du synes om [Fatima/Susanne/Mohammed/Søren] som politiker. Du bedes angive dette på en skala fra 0 til 10, hvor 0 indikerer, at du 'synes meget dårligt om [kandidaten]', mens 10 indikerer, at du 'synes virkelig godt om [kandidaten]'. [rating, 0 (Synes meget dårligt om [kandidaten]) to 10 (Synes virkelig godt om [kandidaten])] |
|---|
attr_nameattr_pronouncov_age_groupcov_duration_seccov_educationcov_gendercov_left_rightcov_regioncov_rwa_1cov_rwa_2cov_rwa_3cov_rwa_4cov_rwa_5cov_rwa_6cov_rwa_7cov_rwa_8cov_sdo7_1cov_sdo7_2cov_sdo7_3cov_sdo7_4cov_sdo7_5cov_sdo7_6cov_sdo7_7cov_sdo7_8cov_survey_weightcov_vote_intentionidprofileratingtask
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("laustsen_2023_candidate_names", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("laustsen_2023_candidate_names", source="conj")
@article{Laustsen_2023, title={Diskriminerer danske vælgere kvindelige og etniske minoritetskandidater? Resultater fra et surveyeksperiment}, volume={55}, ISSN={0105-0710}, url={http://dx.doi.org/10.7146/politica.v55i4.141535}, DOI={10.7146/politica.v55i4.141535}, number={4}, journal={Politica}, publisher={Det Kgl. Bibliotek/Royal Danish Library}, author={Laustsen, Lasse and Gothreau, Claire}, year={2023}, month=Nov, pages={349–369} }
| 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 |