4,906 rated or chosen profiles from 4,906 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.
| Description | 4,906 US online respondents (Qualtrics, 2022) each read one vignette of a Senate candidate, varying party (Democratic/Republican) and filibuster stance (no statement / eliminate / protect). Outcomes: favorability (1-5), perceived support for eliminating the filibuster (1-5) and perceived ideology (1-7). |
|---|---|
| Reference | Banda, K. K., & Sievert, J. How filibuster rhetoric informs perceptions of politicians. Replication data, Harvard Dataverse. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/qfwee6 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 4,906 |
|---|---|
| Rows (one per respondent, task and profile) | 4,906 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 2 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | How favorably or unfavorably do you view Daniel Reid? [rating, 1 (Very unfavorable) to 5 (Very favorable)] |
|---|---|
| rating_ideology | Where would you place Daniel Reid's political ideology on the following scale? [rating, 1 (Very liberal) to 7 (Very conservative)] |
| rating_supports_elimination | How supportive or unsupportive is Daniel Reid of eliminating the filibuster? [rating, 1 (Very unsupportive) to 5 (Very supportive)] |
attr_filibuster_stanceattr_partycov_birth_yearcov_educationcov_gendercov_ideologycov_party_ididprofileratingrating_ideologyrating_supports_eliminationtask
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("banda_2022_filibuster", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("banda_2022_filibuster", source="conj")
@misc{https://doi.org/10.7910/dvn/qfwee6,
doi = {10.7910/DVN/QFWEE6},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/QFWEE6},
author = {Banda, Kevin and Sievert, Joel},
keywords = {Social Sciences},
title = {Replication Data for: How Filibuster Rhetoric Informs Perceptions of Politicians},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |