bansak_2019_satisficing_hotels

99,210 rated or chosen profiles from 3,307 respondents, in up to 15 tasks of 2 profiles varying on 22 attributes.

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

About this table

DescriptionUS MTurk workers (March 2017, n=3,307) compared two hypothetical hotel rooms on 4 core attributes (floor, view, furniture, internet) plus a randomly assigned number (0-18) of meaningful filler attributes; 15 pairs each, forced choice plus a 1-7 rating.
ReferenceBansak, K., Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2019). Beyond the breaking point? Survey satisficing in conjoint experiments. Political Science Research and Methods, 9(1), 53-71.
DOI10.1017/psrm.2019.13
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/JYC2TH

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

Respondents3,307
Rows (one per respondent, task and profile)99,210
Tasks per respondent (most)15
Profiles per task2
Attributes22
Tasks with no profile chosen0

Design

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

Outcomes:

choiceWhich hotel room do you prefer? (paraphrase) [choice, forced]
ratingRate each of the hotel rooms on a scale from 1 to 7. (paraphrase) [rating, 1 (unknown) to 7 (unknown)]

Columns

attr_barattr_callattr_channelsattr_chocolateattr_closetattr_elevatorsattr_fanattr_floorattr_furnitureattr_hallwayattr_internetattr_kitchenattr_lampsattr_linensattr_menuattr_officeattr_pillowsattr_serviceattr_sinksattr_thermoattr_towelsattr_viewchoicecov_agecov_educationcov_gendercov_incomecov_leancov_party_idcov_party_strengthidprofileratingtasktrial_n_fillers

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("bansak_2019_satisficing_hotels", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bansak_2019_satisficing_hotels", source="conj")

How to cite

@article{Bansak_2019, title={Beyond the breaking point? Survey satisficing in conjoint experiments}, volume={9}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2019.13}, DOI={10.1017/psrm.2019.13}, number={1}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Bansak, Kirk and Hainmueller, Jens and Hopkins, Daniel J. and Yamamoto, Teppei}, year={2019}, month=May, pages={53–71} }

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