19,910 rated or chosen profiles from 996 respondents, in up to 10 tasks of 2 profiles varying on 4 attributes.
| Description | US adults (Bovitz panel, wave 2, June 2020; n=996) chose between two versions of the same consumer product varying in country of origin, customer rating and price, 10 tasks each; forced choice. |
|---|---|
| Reference | Bankert, A., Powers, R., & Sheagley, G. (2023). Trade politics at the checkout lane: Ethnocentrism and consumer preferences. Political Science Research and Methods, 11(3), 605-612. |
| DOI | 10.1017/psrm.2022.40 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/3TGWGG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 996 |
|---|---|
| Rows (one per respondent, task and profile) | 19,910 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | consumer products |
|---|---|
| A profile represents | product service |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): Same product on both profiles of a task; no product repeated within respondent (drawn without repetition); price levels depend on product (baseline x mark-up) |
| Task order | recorded in the deposit |
| 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 | If you had to purchase one of the products above, which one would it be? [choice, forced] |
|---|
attr_countryattr_priceattr_productattr_ratingchoicecov_agecov_educationcov_ethno1cov_ethno2cov_ethno3cov_ethno4cov_ethno5cov_ethno6cov_ft_chinacov_ft_germanycov_ft_japancov_ft_mexicocov_ft_puerto_ricocov_ft_ukcov_ft_uscov_gendercov_incomecov_party_idcov_raceidprofiletask
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("bankert_2023_consumer_origin", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bankert_2023_consumer_origin", source="conj")
@article{Bankert_2022, title={Trade politics at the checkout lane: ethnocentrism and consumer preferences}, volume={11}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2022.40}, DOI={10.1017/psrm.2022.40}, number={3}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Bankert, Alexa and Powers, Ryan and Sheagley, Geoffrey}, year={2022}, month=Sept, pages={605–612} }
| 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 |