digiuseppe_2022_tv_india

14,970 rated or chosen profiles from 998 respondents, in up to 5 tasks of 3 profiles varying on 5 attributes.

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

About this table

DescriptionIndian adults (n = 998, December 2019) chose one of three televisions in each of 5 tasks, varying country of manufacture (10 countries), resolution, customer reviews, brand and price; covariates include their 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

Respondents998
Rows (one per respondent, task and profile)14,970
Tasks per respondent (most)5
Profiles per task3
Attributes5
Tasks with no profile chosen0

Design

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

Outcomes:

choiceunknown [choice, forced]

Columns

attr_brandattr_made_inattr_priceattr_resolutionattr_reviewschoicecov_affordcov_attention_passcov_birth_yearcov_coo2cov_coousecov_educationcov_employmentcov_gendercov_globalizationcov_ha_bangcov_ha_chinacov_ha_malcov_ha_pakcov_ha_philcov_ha_ruscov_ha_skcov_ha_taiwcov_ha_thaicov_ha_vietcov_householdsizecov_incomecov_la_bangcov_la_chinacov_la_malcov_la_pakcov_la_philcov_la_ruscov_la_skcov_la_taiwcov_la_thaicov_la_vietcov_marriedcov_newscov_newspoliticscov_onlineshoppercov_party1cov_q119cov_q121cov_q123cov_religioncov_school1cov_stateidprofiletask

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_tv_india", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("digiuseppe_2022_tv_india", 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