nunes_2015_jellyfish_beach

4,788 rated or chosen profiles from 640 respondents, in up to 5 tasks of 2 profiles varying on 4 attributes.

About this table

DescriptionStated-choice experiment: 640 beach recreationists at eight Catalan beaches (2012) chose between two hypothetical beaches (jellyfish bloom risk, water transparency, services, extra travel time) or doing something else; 1-5 answered cards each.
ReferenceNunes, P. A. L. D., Loureiro, M. L., Pinol, L., Sastre, S., Voltaire, L., & Canepa, A. (2015). Analyzing beach recreationists' preferences for the reduction of jellyfish blooms: Economic results from a stated-choice experiment in Catalonia, Spain. PLOS ONE, 10(6), e0126681.
DOI10.1371/journal.pone.0126681
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.1372408

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

Respondents640
Rows (one per respondent, task and profile)4,788
Tasks per respondent (most)5
Profiles per task2
Attributes4
Tasks with no profile chosen105

Design

Topicclimate energy environment
A profile representsplace
CountryES
Language shownca, es, en
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoice of Beach A, Beach B, or a third option (stay at home or do any other recreational activity) on a hypothetical day of leisure (paraphrase) [choice, opt-out allowed]

Columns

attr_extra_travel_timeattr_jellyfish_riskattr_servicesattr_water_transparencychoicecov_agecov_gendercov_siteidprofiletasktrial_survey_type

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("nunes_2015_jellyfish_beach", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("nunes_2015_jellyfish_beach", source="conj")

How to cite

@article{Nunes_2015, title={Analyzing Beach Recreationists’ Preferences for the Reduction of Jellyfish Blooms: Economic Results from a Stated-Choice Experiment in Catalonia, Spain}, volume={10}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0126681}, DOI={10.1371/journal.pone.0126681}, number={6}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Nunes, Paulo A. L. D. and Loureiro, Maria L. and Piñol, Laia and Sastre, Sergio and Voltaire, Louinord and Canepa, Antonio}, editor={Thuesen, Erik V.}, year={2015}, month=June, pages={e0126681} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0