12,573 rated or chosen profiles from 1,326 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | Candidate choice conjoint fielded on MTurk in the US: respondents chose between two candidates in 5 tasks, with candidate party shown in one between-subject arm and hidden in the other (1,326 respondents). Outcomes: candidate choice, and in the no-party arm's last task a guess of each candidate's party. |
|---|---|
| Reference | Andersen, S. C., & Hjortskov, M. (2026). Masking or lexicographic preferences? Using conjoint experiments to distinguish between two fundamental theories of choice. Political Science Research and Methods. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/NA3YBS |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,326 |
|---|---|
| Rows (one per respondent, task and profile) | 12,573 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two candidates would you choose? If in doubt, please choose the one that you like the most [choice, forced] |
|---|---|
| rating_guess_democrat | Which party do you think the two candidates above are from? If in doubt, please take a guess [rating, 0 (Republican) to 1 (Democrat)] |
attr_ageattr_experienceattr_genderattr_jobattr_partyattr_racechoicecov_party_id7idprofilerating_guess_democrattasktrial_party_info
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("andersen_2026_party_masking", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("andersen_2026_party_masking", source="conj")
@misc{https://doi.org/10.7910/dvn/na3ybs,
doi = {10.7910/DVN/NA3YBS},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/NA3YBS},
author = {Andersen, Simon Calmar and Larsen, Morten Hjortskov},
keywords = {Social Sciences, Candidate choice, conjoint, masking, lexicographic preferences, gender, race},
title = {Replication Data for: Masking or Lexicographic Preferences? Using Conjoint Experiments to Distinguish Between Two Fundamental Theories of Choice},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |