5,652 rated or chosen profiles from 942 respondents, in up to 3 tasks of 2 profiles varying on 5 attributes.
One of 3 tables from the same source; this one is the muslim_ban table. The others are listed under Related tables.
| Description | 942 university students in Chile, China, India and the UK (2018) each chose between 3 pairs of hypothetical employment destinations abroad and rated each 1-7; destinations varied social benefits, GDP growth, service-sector salaries, university rankings and an immigration policy (point system / visa-centre change / restriction on Muslim immigration and tourist visas). Conjoint 1 of 3 in the study. |
|---|---|
| Reference | Duch, R. M., Laroze, D., Reinprecht, C., & Robinson, T. S. (2022). Nativist policy: The comparative effects of Trumpian politics on migration decisions. Political Science Research and Methods, 10(1), 171-187. |
| DOI | 10.1017/psrm.2020.33 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MYJDHS |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 942 |
|---|---|
| Rows (one per respondent, task and profile) | 5,652 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | place |
| Country | CL, CN, IN, GB |
| Language shown | es, zh, en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | which of the employment destinations do you prefer? [choice, forced] |
|---|---|
| rating | On a scale from 1 to 7, where 1 indicates that you strongly disapprove of the employment destination and 7 indicates that you strongly approve of the employment destination, how would you rate Employment Destinations 1 and 2? [rating, 1 (strongly disapprove of the employment destination) to 7 (strongly approve of the employment destination)] |
attr_economic_performanceattr_educationattr_immigration_policyattr_service_salariesattr_social_benefitschoicecov_agecov_birth_yearcov_countrycov_gendercov_ideologycov_interestcov_likelycov_rating_australiacov_rating_canada_or_ukcov_rating_uscov_ret_correctidprofileratingtask
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("duch_2022_destination_muslim_ban", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("duch_2022_destination_muslim_ban", source="conj")
@article{Duch_2020, title={Nativist policy: the comparative effects of Trumpian politics on migration decisions}, volume={10}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2020.33}, DOI={10.1017/psrm.2020.33}, number={1}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Duch, Raymond M and Laroze, Denise and Reinprecht, Constantin and Robinson, Thomas S}, year={2020}, month=Sept, pages={171–187} }
| 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 |