2,205 rated or chosen profiles from 2,205 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | Survey experiment in a Generation Z US sample (n = 2,205): each respondent saw one Democratic politician whose age (22 or 68), gender and race (White or Black) were randomized (2 x 2 x 2, between-subject); outcomes are eight 0-1 items on likelihood of future political engagement. |
|---|---|
| Reference | Deckman, M., & McDonald, J. (2022). Uninspired by old white guys: The mobilizing factor of younger, more diverse candidates for Gen Z women. Politics & Gender, 19(1), 195-219. |
| DOI | 10.1017/s1743923x21000477 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/VVDIOD |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,205 |
|---|---|
| Rows (one per respondent, task and profile) | 2,205 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating_attend_meeting | Likelihood of future political activity: attend a local public or community meeting (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
|---|---|
| rating_discuss_politics | Likelihood of future political activity: discuss public affairs with friends and family (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_encourage_vote | Likelihood of future political activity: encourage people to vote (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_follow_news | Likelihood of future political activity: follow political news (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_protest_rally | Likelihood of future political activity: participate in a protest or rally (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_run_for_office | Likelihood of future political activity: run for political office (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_social_media_issue | Likelihood of future political activity: use social media to bring attention to an issue in my community (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
| rating_volunteer_campaign | Likelihood of future political activity: volunteer for a political campaign (activity heading from the replication .do file; item wording not in deposit; stored as the authors' 0-1 normalisation of a 5-point item) (paraphrase) [rating, 0 (unknown) to 1 (unknown)] |
attr_candidate_ageattr_candidate_genderattr_candidate_racecov_gendercov_party_ididprofilerating_attend_meetingrating_discuss_politicsrating_encourage_voterating_follow_newsrating_protest_rallyrating_run_for_officerating_social_media_issuerating_volunteer_campaigntask
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("deckman_2022_genz_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("deckman_2022_genz_candidates", source="conj")
@article{Deckman_2022, title={Uninspired by Old White Guys: The Mobilizing Factor of Younger, More Diverse Candidates for Gen Z Women}, volume={19}, ISSN={1743-9248}, url={http://dx.doi.org/10.1017/s1743923x21000477}, DOI={10.1017/s1743923x21000477}, number={1}, journal={Politics & Gender}, publisher={Cambridge University Press (CUP)}, author={Deckman, Melissa and McDonald, Jared}, year={2022}, month=Apr, pages={195–219} }
| 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 |