hassan_2019_wetland_malaysia

14,508 rated or chosen profiles from 403 respondents, in up to 12 tasks of 3 profiles varying on 5 attributes.

About this table

DescriptionChoice experiment: 403 urban and rural Malaysian households chose among two wetland-conservation programmes and a status-quo alternative described by environmental protection zones, biodiversity, recreation, flood protection and a household cost (reduced subsidies); 12 choice sets each. Level text is not in the deposit (codes only).
ReferenceHassan, S., Olsen, S. B., & Thorsen, B. J. (2019). Urban-rural divides in preferences for wetland conservation in Malaysia. Land Use Policy, 84, 226-237.
DOI10.1016/j.landusepol.2019.03.015
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/3yjzwt26b4.1

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

Respondents403
Rows (one per respondent, task and profile)14,508
Tasks per respondent (most)12
Profiles per task3
Attributes5
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryMY
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoice among wetland conservation alternatives 1, 2 and 3 (status quo) (paraphrase; exact wording not in the deposit) [choice, forced]

Columns

attr_biodiversityattr_environmental_protectionattr_floodattr_priceattr_recreationchoicecov_agecov_education_codecov_gender_codecov_urban_codeidprofiletask

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("hassan_2019_wetland_malaysia", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hassan_2019_wetland_malaysia", source="conj")

How to cite

@article{Hassan_2019, title={Urban-rural divides in preferences for wetland conservation in Malaysia}, volume={84}, ISSN={0264-8377}, url={http://dx.doi.org/10.1016/j.landusepol.2019.03.015}, DOI={10.1016/j.landusepol.2019.03.015}, journal={Land Use Policy}, publisher={Elsevier BV}, author={Hassan, Suziana and Olsen, Søren Bøye and Thorsen, Bo Jellesmark}, year={2019}, month=May, pages={226–237} }

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