14,294 rated or chosen profiles from 1,021 respondents, in up to 7 tasks of 2 profiles varying on 7 attributes.
| Description | Finnish respondents (n = 1,021) chose between two hypothetical candidates in 7 pairs varying gender, age, education, ideological closeness, political experience, endorsement source (nobody, VAA, social media, family/friend) and likelihood of election, each attribute possibly not shown. |
|---|---|
| Reference | Christensen, H. S., Järvi, T., Mattila, M., & von Schoultz, Å. (2021). How voters choose one out of many: A conjoint analysis of the effects of endorsements on candidate choice. Political Research Exchange, 3(1). |
| DOI | 10.1080/2474736X.2021.1892456 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/rdxct/ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,021 |
|---|---|
| Rows (one per respondent, task and profile) | 14,294 |
| Tasks per respondent (most) | 7 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | FI |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two candidates would you choose? (paraphrase) [choice, forced] |
|---|
attr_ageattr_educationattr_election_likelihoodattr_experienceattr_genderattr_ideologyattr_recommendationchoicecov_educationcov_has_party_idcov_lrcov_political_interestcov_voted_2019idprofiletask
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("christensen_2021_endorsements", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("christensen_2021_endorsements", source="conj")
@article{Christensen_2021, title={How voters choose one out of many: a conjoint analysis of the effects of endorsements on candidate choice}, volume={3}, ISSN={2474-736X}, url={http://dx.doi.org/10.1080/2474736X.2021.1892456}, DOI={10.1080/2474736x.2021.1892456}, number={1}, journal={Political Research Exchange}, publisher={Informa UK Limited}, author={Christensen, Henrik Serup and Järvi, Theodora and Mattila, Mikko and von Schoultz, Åsa}, year={2021}, month=Jan }
| 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 |