kantorowicz_2026_rights_laundry

26,804 rated or chosen profiles from 2,239 respondents, in up to 6 tasks of 2 profiles varying on 9 attributes.

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

About this table

DescriptionUS adults chose between two laundry machines in up to 6 paired tasks, the products varying brand, price, depth, noise and load capacity and four contract terms (warranty, conflict resolution, liability, privacy). 2,239 respondents; forced choice. The same respondents did the companion experiment kantorowicz_2026_rights_computers.
ReferenceKantorowicz-Reznichenko, E., van Heusden, A., & Kantorowicz, J. (2026). Consumers' rights in the shadow of the brand: A conjoint experiment on the valuation and trade-offs of contractual rights. Journal of Law & Empirical Analysis, 3(1), 105-126.
DOI10.1177/2755323X261438858
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/EWOHKJ

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

Respondents2,239
Rows (one per respondent, task and profile)26,804
Tasks per respondent (most)6
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topicconsumer products
A profile representsproduct service
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceunknown [choice, forced]

Columns

attr_brandattr_conflict_resolutionattr_depthattr_liabilityattr_load_capacityattr_noiseattr_priceattr_privacyattr_warrantychoiceidprofiletask

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("kantorowicz_2026_rights_laundry", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kantorowicz_2026_rights_laundry", source="conj")

How to cite

@article{Kantorowicz_Reznichenko_2026, title={Consumers’ Rights in the Shadow of the Brand: A Conjoint Experiment on the Valuation and Trade-Offs of Contractual Rights}, volume={3}, ISSN={2755-323X}, url={http://dx.doi.org/10.1177/2755323X261438858}, DOI={10.1177/2755323x261438858}, number={1}, journal={Journal of Law &amp; Empirical Analysis}, publisher={SAGE Publications}, author={Kantorowicz-Reznichenko, Elena and van Heusden, Adrianus and Kantorowicz, Jaroslaw}, year={2026}, month=Apr, pages={105–126} }

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