12,052 rated or chosen profiles from 12,052 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.
| Description | US adults (Morning Consult, n=12,052, weighted) each judged one hypothetical immigrant whose country (Mexico, India, Canada), skill (farm laborer with no formal education vs doctor with a graduate-equivalent degree) and the presence of a sentence on how prevalent such immigrants are were randomized; a binary admit question plus three ordinal admission ratings. |
|---|---|
| Reference | Malhotra, N., & Newman, B. (2017). Explaining immigration preferences: Disentangling skill and prevalence. Research & Politics, 4(4). |
| DOI | 10.1177/2053168017734076 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/DEKS5Z |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 12,052 |
|---|---|
| Rows (one per respondent, task and profile) | 12,052 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 4 |
| Tasks with no profile chosen | 2,862 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): skill is one factor shown as two fields: 'No Formal Education' always with 'Farm Laborer', 'Equiv. to Completing Graduate Degree in the U.S.' always with 'Doctor'; the prevalence sentence is either absent or the one sentence fixed by country x skill (12 cells of the 3x2x2 design) |
| Task order | inferred from row order |
| Profile position | inferred from row order |
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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Binary admission question: should this immigrant be admitted to the United States? (paraphrase) [choice, opt-out allowed] |
|---|---|
| rating_admit_scale | Continuous admission measure: how strongly should this immigrant be admitted, 1-7 (paraphrase) [rating, 1 (unknown (least in favour of admitting)) to 7 (unknown (most in favour of admitting))] |
| rating_admit_ten_thousand | Should ten thousand immigrants like this be admitted? (paraphrase) [rating, 1 (unknown (most in favour)) to 5 (unknown (least in favour))] |
| rating_how_many_more | How many more immigrants like this should be admitted? (paraphrase) [rating, 1 (unknown (most in favour of more)) to 5 (unknown (least in favour))] |
attr_countryattr_educationattr_prevalence_sentenceattr_professionchoicecov_age_codecov_education_codecov_gender_codecov_hispanic_codecov_ideology_codecov_party_id_codecov_party_lean_codecov_race_codecov_state_codecov_survey_weightidprofilerating_admit_scalerating_admit_ten_thousandrating_how_many_moretask
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("malhotra_2017_immigrant_skill", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("malhotra_2017_immigrant_skill", source="conj")
@article{Malhotra_2017, title={Explaining immigration preferences: Disentangling skill and prevalence}, volume={4}, ISSN={2053-1680}, url={http://dx.doi.org/10.1177/2053168017734076}, DOI={10.1177/2053168017734076}, number={4}, journal={Research & Politics}, publisher={SAGE Publications}, author={Malhotra, Neil and Newman, Benjamin}, year={2017}, month=Oct }
| 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 |