31,112 rated or chosen profiles from 31,112 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.
| Description | 31,112 adults in Egypt, Algeria, Morocco, Jordan, Tunisia and Libya (fall 2022) each rated one hypothetical candidate whose gender, background (civil society vs business), party goals (local development vs national economy) and success were randomized, on ten 0-10 scales (vote, endorsement, competence in several domains, others' vote). |
|---|---|
| Reference | Lust, E., & Benstead, L. J. (2024). Is the future female? Lessons from a conjoint experiment on voter preferences in six Arab countries. Comparative Political Studies. |
| DOI | 10.1177/00104140241237462 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/2G7A0M |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 31,112 |
|---|---|
| Rows (one per respondent, task and profile) | 31,112 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 4 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | EG, DZ, MA, JO, TN, LY |
| Language shown | unknown |
| 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 | would vote for the candidate (paraphrase of authors' variable Vote_For, item EQ1) [rating, 0 (unknown) to 10 (unknown)] |
|---|---|
| rating_development | candidate would be good at promoting development (paraphrase of authors' variable Good_Promote_Development, item EQ5) [rating, 0 (unknown) to 10 (unknown)] |
| rating_endorse | endorsement of the candidate (exact meaning undocumented) (paraphrase of authors' variable Would_Infl_Endorse, item EQ2) [rating, 0 (unknown) to 10 (unknown)] |
| rating_national_econ | candidate would improve the national economy (paraphrase of authors' variable Improve_Ntnl_Econ, item EQ7) [rating, 0 (unknown) to 10 (unknown)] |
| rating_others_vote | others would vote for the candidate (paraphrase of authors' variable Others_Would_Vote, item EQ9) [rating, 0 (unknown) to 10 (unknown)] |
| rating_raise_funds | candidate would be good at raising funds (paraphrase of authors' variable Good_Raise_Funds, item EQ3) [rating, 0 (unknown) to 10 (unknown)] |
| rating_security | candidate would be good at improving security (paraphrase of authors' variable Good_Improve_Security, item EQ4) [rating, 0 (unknown) to 10 (unknown)] |
| rating_services | candidate would help obtain services (paraphrase of authors' variable Help_Obtain_Services, item EQ8) [rating, 0 (unknown) to 10 (unknown)] |
| rating_similar | likely to see a similar candidate (paraphrase of authors' variable Likely_See_Similar_Candidate, item EQ10) [rating, 0 (unknown) to 10 (unknown)] |
| rating_social_problems | candidate would be good at addressing social problems (paraphrase of authors' variable Good_Social_Probs, item EQ6) [rating, 0 (unknown) to 10 (unknown)] |
attr_backgroundattr_genderattr_party_goalsattr_successcov_agecov_bensexismcov_bizabilitycov_bizappropriatecov_check_backgroundcov_check_gendercov_citizencov_comsexismcov_countrycov_csoabilitycov_csoappropriatecov_educationcov_gendercov_hossexismcov_religiosityidprofileratingrating_developmentrating_endorserating_national_econrating_others_voterating_raise_fundsrating_securityrating_servicesrating_similarrating_social_problemstask
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("lust_2024_female_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("lust_2024_female_candidates", source="conj")
@article{Lust_2024, title={Is the Future Female? Lessons from a Conjoint Experiment on Voter Preferences in Six Arab Countries}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140241237462}, DOI={10.1177/00104140241237462}, number={14}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Lust, Ellen and Benstead, Lindsay J.}, year={2024}, month=Mar, pages={2376–2413} }
| 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 |