14,508 rated or chosen profiles from 403 respondents, in up to 12 tasks of 3 profiles varying on 5 attributes.
| Description | Choice 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). |
|---|---|
| Reference | Hassan, S., Olsen, S. B., & Thorsen, B. J. (2019). Urban-rural divides in preferences for wetland conservation in Malaysia. Land Use Policy, 84, 226-237. |
| DOI | 10.1016/j.landusepol.2019.03.015 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.17632/3yjzwt26b4.1 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 403 |
|---|---|
| Rows (one per respondent, task and profile) | 14,508 |
| Tasks per respondent (most) | 12 |
| Profiles per task | 3 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | MY |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Choice among wetland conservation alternatives 1, 2 and 3 (status quo) (paraphrase; exact wording not in the deposit) [choice, forced] |
|---|
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.
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")
@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} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |