mahlalela_2024_reed_dance_wetlands

15,984 rated or chosen profiles from 444 respondents, in up to 12 tasks of 3 profiles varying on 4 attributes.

About this table

DescriptionDiscrete choice experiment on supporting the Eswatini reed dance: 444 households in Eswatini chose among the status quo and two programmes described by wetland conservation, informal education hours, tourist numbers and an annual household payment (three payment-vehicle split samples); 12 cards each, choice, no opt-out.
ReferenceMahlalela, L. S. (2024). Stakeholder preferences for ecosystem services provided by wetlands in Eswatini [Doctoral thesis, University of Pretoria]. Data: Mahlalela, L., Jourdain, D., Mungatana, E., & Hedemark Lundhede, T. (2024). Q-methodology and stated preferences data of stakeholder preferences for ecosystem services. University of Pretoria.
LicenceCC BY 4.0
Source datahttps://doi.org/10.25403/UPresearchdata.25187747.v1

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

Respondents444
Rows (one per respondent, task and profile)15,984
Tasks per respondent (most)12
Profiles per task3
Attributes4
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountrySZ
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

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

Outcomes:

choiceFor each choice card, we kindly ask you to choose the option you prefer given the amount indicated for the changes in the alternatives. You can only choose one option in each choice card [choice, forced]

Columns

attr_annual_household_taxattr_informal_educationattr_tourist_presenceattr_wetland_conservationchoiceidprofiletasktrial_payment_vehicle

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("mahlalela_2024_reed_dance_wetlands", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("mahlalela_2024_reed_dance_wetlands", source="conj")

How to cite

@misc{https://doi.org/10.25403/upresearchdata.25187747.v1,
  doi = {10.25403/UPRESEARCHDATA.25187747.V1},
  url = {https://researchdata.up.ac.za/articles/dataset/Q-methodology_and_stated_preferences_data_of_stakeholder_preferences_for_ecosystem_services/25187747/1},
  author = {Mahlalela, Linda and Jourdain, Damien and Mungatana, Eric and Hedemark Lundhede, Thomas},
  keywords = {Conservation and biodiversity, Natural resource management, Environment and resource economics, Welfare economics},
  title = {Q-methodology and stated preferences data of stakeholder preferences for ecosystem services},
  publisher = {University of Pretoria},
  year = {2024},
  copyright = {Creative Commons Attribution 4.0 International}
}

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