digiuseppe_2022_tshirt_usa

18,420 rated or chosen profiles from 1,228 respondents, in up to 5 tasks of 3 profiles varying on 4 attributes.

One of 2 tables from the same source; this one is the tshirt_usa table. The others are listed under Related tables.

About this table

DescriptionUS MTurk workers (n = 1,228, December 2019) chose one of three T-shirts in each of 5 tasks, varying country of manufacture (9 Asian countries), material, quality and price; covariates include their threat, hostility and labor-condition ratings of each country.
ReferenceDiGiuseppe, M., & Barry, C. M. (2022). Do consumers follow the flag? Perceptions of hostility and consumer preferences. International Interactions, 48(6), 1200-1215.
DOI10.1080/03050629.2022.2089133
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/PEZ7EE

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents1,228
Rows (one per respondent, task and profile)18,420
Tasks per respondent (most)5
Profiles per task3
Attributes4
Tasks with no profile chosen0

Design

Topicconsumer products
A profile representsproduct service
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceunknown [choice, forced]

Columns

attr_made_inattr_materialattr_priceattr_qualitychoicecov_agecov_attention_passcov_attention_pass_w2cov_block8_docov_coousecov_coouse_2cov_educationcov_employedcov_gendercov_globizcov_ha_chinacov_ha_indiacov_ha_malaycov_ha_pakicov_ha_philcov_ha_skcov_ha_taiwancov_ha_thaicov_ha_vietcov_incomecov_la_chinacov_la_indiacov_la_malaycov_la_pakicov_la_philcov_la_skcov_la_taiwancov_la_thaicov_la_vietcov_newscov_partyid_codecov_ta_chinacov_ta_indiacov_ta_malaycov_ta_pakicov_ta_philcov_ta_skcov_ta_taiwancov_ta_thaicov_ta_vietcov_urbanruralidprofiletask

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("digiuseppe_2022_tshirt_usa", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("digiuseppe_2022_tshirt_usa", source="conj")

How to cite

@article{DiGiuseppe_2022, title={Do consumers follow the flag? Perceptions of hostility and consumer preferences}, volume={48}, ISSN={1547-7444}, url={http://dx.doi.org/10.1080/03050629.2022.2089133}, DOI={10.1080/03050629.2022.2089133}, number={6}, journal={International Interactions}, publisher={Informa UK Limited}, author={DiGiuseppe, Matthew and Barry, Colin M.}, year={2022}, month=June, pages={1200–1215} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0