6,982 rated or chosen profiles from 873 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.
| Description | Moroccan face-to-face respondents (n = 873, 2023) compared 4 pairs of hypothetical parliamentary candidates on 7 attributes including gender, saying which they prefer, which men and which women in their community would prefer, and rating each candidate's competence 1-10. |
|---|---|
| Reference | Barnett, C., Blackman, A., & Shalaby, M. (2026). Misperceptions of male bias against female candidates: An obstacle to women's political representation? Political Behavior. |
| Licence | CC BY-NC 4.0 |
| Source data | https://doi.org/10.7910/DVN/ALYII5 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 873 |
|---|---|
| Rows (one per respondent, task and profile) | 6,982 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | MA |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two candidates do you prefer? (paraphrase) [choice, forced] |
|---|---|
| choice_men | Which of these two candidates would men in your community prefer? (paraphrase) [choice, forced] |
| choice_women | Which of these two candidates would women in your community prefer? (paraphrase) [choice, forced] |
| rating | How competent is this candidate, from 1 to 10? (paraphrase) [rating, 1 (least competent) to 10 (most competent)] |
attr_characterattr_connectedattr_educationattr_familyattr_genderattr_partyattr_previouschoicechoice_menchoice_womencov_agecov_bs_cherishcov_bs_moralcov_bs_perceivedcov_education_levelcov_employedcov_enumerator_gendercov_gendercov_govt_satiscov_hs_controlcov_hs_offendedcov_hs_perceivedcov_hs_workcov_in_laborforcecov_manip_check_wrongcov_married_widowedcov_ms_antagonismcov_ms_denial_1cov_ms_denial_2cov_ms_denial_3cov_ms_perceivedcov_ms_resentmentcov_pat_perceivedcov_religiositycov_ses_subjcov_straightlinercov_urbancov_voted_parl21cov_women_decisioncov_women_jobscov_women_leadersidprofileratingtasktrial_outcome_order_1trial_outcome_order_2
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.
Licence: CC BY-NC 4.0 — non-commercial use only.
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("barnett_2026_morocco_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("barnett_2026_morocco_candidates", source="conj")
@misc{https://doi.org/10.7910/dvn/alyii5,
doi = {10.7910/DVN/ALYII5},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ALYII5},
author = {Barnett, Carolyn and Blackman, Alexandra and Shalaby, Marwa},
keywords = {Social Sciences, Perceived norms, Gender norms, Women’s representation, Female candidates, Pluralistic ignorance, Morocco, Conjoint experiment},
title = {Replication Data for: Misperceptions of Male Bias Against Female Candidates: An Obstacle to Women’s Political Representation?},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |