10,766 rated or chosen profiles from 1,077 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | 1,077 US respondents (MENA samples from Prolific and Lucid and a non-Hispanic White Prolific sample, 2021) each classified 10 fictitious people (5 side-by-side pairs) with randomized name, religion, home language, occupation, skin colour (hand image) and ancestry into one of six racial categories; stored as six 0/1 indicators. |
|---|---|
| Reference | Maghbouleh, N., Schachter, A., & Flores, R. D. (2022). Middle Eastern and North African Americans may not be perceived, nor perceive themselves, to be White. Proceedings of the National Academy of Sciences, 119(7), e2117940119. |
| DOI | 10.1073/pnas.2117940119 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/BTFTQE |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,077 |
|---|---|
| Rows (one per respondent, task and profile) | 10,766 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Topic | social identity interpersonal |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| 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_asian | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as Asian; 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (Asian chosen)] |
|---|---|
| rating_black | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as Black; 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (Black chosen)] |
| rating_hispanic | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as Hispanic; 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (Hispanic chosen)] |
| rating_mena | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as Middle Eastern/North African (MENA); 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (Middle Eastern/North African (MENA) chosen)] |
| rating_native_american | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as Native American; 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (Native American chosen)] |
| rating_white | How would you classify these immigrants? (please choose the single best category for each individual) [1 = classified as White; 0 = another of White / Black / Native American / Hispanic / Middle Eastern/North African (MENA) / Asian chosen] [rating, 0 (another category chosen) to 1 (White chosen)] |
attr_ancestryattr_languageattr_nameattr_occupationattr_religionattr_skin_colorattrpos_ancestryattrpos_languageattrpos_nameattrpos_occupationattrpos_religionattrpos_skin_colorcov_agecov_attention_scorecov_born_uscov_citizencov_discrim_menacov_duration_seccov_educationcov_gendercov_incomecov_mena_grandparentcov_parents_borncov_party_closercov_party_idcov_religioncov_sampleidprofilerating_asianrating_blackrating_hispanicrating_menarating_native_americanrating_whitetasktrial_nativity_arm
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("maghbouleh_2022_mena_classification", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("maghbouleh_2022_mena_classification", source="conj")
@article{Maghbouleh_2022, title={Middle Eastern and North African Americans may not be perceived, nor perceive themselves, to be White}, volume={119}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2117940119}, DOI={10.1073/pnas.2117940119}, number={7}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Maghbouleh, Neda and Schachter, Ariela and Flores, René D.}, year={2022}, month=Feb }
| 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 |