2,699 rated or chosen profiles from 450 respondents, in up to 6 tasks of 1 profile varying on 10 attributes.
| Description | White non-Hispanic US online panel respondents (Bovitz/Forthright, n = 450) each read 6 one-sentence newspaper excerpts in which a speaker insulted, threatened or slurred a target at a town hall meeting; headline, both people's party, job and name (names signal race and gender) and the uncivil phrase were randomized. Ratings: how uncivil and how newsworthy (1-5). |
|---|---|
| Reference | Gubitz, S. R. (2022). Race, gender, and the politics of incivility: How identity moderates perceptions of uncivil discourse. The Journal of Race, Ethnicity, and Politics, 7(3), 526-543. |
| DOI | 10.1017/rep.2022.7 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ODPNI8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 450 |
|---|---|
| Rows (one per respondent, task and profile) | 2,699 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 1 |
| Attributes | 10 |
| Topic | political communication |
|---|---|
| A profile represents | message |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): Names are drawn within the race x gender cells the author codes (trial_ columns), so first and last names co-vary with race and gender; same-party pairs are shown with the 'a fellow <party>' wording (target party then not shown as an adjective). Job: 'Representative' on about half of profiles, each of 10 other occupations about 5%. |
| 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_newsworthy | How newsworthy do you think the above scenario was? [rating, 1 (Not at all newsworthy) to 5 (Very newsworthy)] |
|---|---|
| rating_uncivil | How uncivil do you think the above scenario was? [rating, 1 (Not at all uncivil) to 5 (Very uncivil)] |
attr_headlineattr_incivilityattr_speaker_first_nameattr_speaker_jobattr_speaker_last_nameattr_speaker_partyattr_target_first_nameattr_target_jobattr_target_last_nameattr_target_partycov_agecov_duration_seccov_educationcov_gendercov_ideologycov_incomecov_party_idcov_party_id7cov_therm_demcov_therm_repidprofilerating_newsworthyrating_unciviltasktrial_fellow_partisantrial_speaker_gendertrial_speaker_racetrial_target_gendertrial_target_race
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("gubitz_2022_incivility", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gubitz_2022_incivility", source="conj")
@article{Gubitz_2022, title={Race, Gender, and the Politics of Incivility: How Identity Moderates Perceptions of Uncivil Discourse}, volume={7}, ISSN={2056-6085}, url={http://dx.doi.org/10.1017/rep.2022.7}, DOI={10.1017/rep.2022.7}, number={3}, journal={The Journal of Race, Ethnicity, and Politics}, publisher={Cambridge University Press (CUP)}, author={Gubitz, S.R.}, year={2022}, month=May, pages={526–543} }
| 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 |