29,140 rated or chosen profiles from 2,916 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.
One of 3 tables from the same source; this one is the us table. The others are listed under Related tables.
| Description | Online quota-sample respondents in United States (Lucid, May-September 2021; n = 2,916 who reached the conjoint) each read 5 pairs of text descriptions of politicians (gender plus one further social characteristic, party and constituency link, justification style, a responsiveness quote, party-vs-own voting, and a stance on one policy issue) and chose who would better represent them. Outcome: forced choice. |
|---|---|
| Reference | Blumenau, J., Wolkenstein, F., & Wratil, C. (2024). Citizens' preferences for multidimensional representation. Perspectives on Politics, 23(2), 588-610. |
| DOI | 10.1017/S1537592724001373 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/EZDPNP |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,916 |
|---|---|
| Rows (one per respondent, task and profile) | 29,140 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 8 |
| 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 | yes (stated by the source): one policy issue per pair (same issue for both politicians, stance varies); the descriptive sentence shows gender plus ONE of ethnicity/sexuality/class, the same characteristic type for both politicians of a pair (plumber_us.R desc_chars_in_task); probabilities: ethnicity White .63, Black .13, Asian .06, Hispanic .18; sexuality heterosexual .9 / homosexual .1; others uniform. Party: Republican/Democrat; congressional-district phrase 2 levels |
| 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 | Which of these politicians do you think would better represent you in politics? [choice, forced] |
|---|
attr_characteristicattr_genderattr_justificationattr_mandateattr_partyattr_personalizationattr_responsivenessattr_substantiveattrpos_characteristicattrpos_genderattrpos_justificationattrpos_mandateattrpos_partyattrpos_personalizationattrpos_responsivenessattrpos_substantivechoicecov_attention_passcov_birth_yearcov_classcov_duration_seccov_educationcov_ethnicitycov_gendercov_ideologycov_regioncov_sexualitycov_vote_lastidprofiletask
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("blumenau_2024_representation_us", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("blumenau_2024_representation_us", source="conj")
@article{Blumenau_2024, title={Citizens’ Preferences for Multidimensional Representation}, volume={23}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592724001373}, DOI={10.1017/s1537592724001373}, number={2}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Blumenau, Jack and Wolkenstein, Fabio and Wratil, Christopher}, year={2024}, month=Dec, pages={588–610} }
| 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 |