kamaludin_2025_refrigerator_energy_label

6,392 rated or chosen profiles from 799 respondents, in up to 4 tasks of 2 profiles varying on 4 attributes.

About this table

DescriptionChoice experiment: 799 Malaysian household heads chose between two refrigerators (energy star rating, annual energy cost, annual energy saving, price in RM) or a no-option, in 4 choice sets each.
ReferenceKamaludin, M., Razali, M. A. S., Haron, N. F., Abd Aziz, A., & Samdin, Z. (2025). Household preferences towards energy labels in Malaysia: A pathway to sustainability. Journal of Sustainability Science and Management, 20(1), 1-22.
DOI10.46754/jssm.2025.01.001
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/5bhwp4t8xb.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

Respondents799
Rows (one per respondent, task and profile)6,392
Tasks per respondent (most)4
Profiles per task2
Attributes4
Tasks with no profile chosen171

Design

Topicconsumer products, climate energy environment
A profile representsproduct service
CountryMY
Language shownunknown
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choicePlease tick your choice among Option A, Option B and no-option (article Table 2) [choice, opt-out allowed]

Columns

attr_energy_consumptionattr_energy_savingattr_energy_starattr_pricechoicecov_agecov_education_codecov_gender_codecov_income_resp_rmidprofiletask

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("kamaludin_2025_refrigerator_energy_label", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kamaludin_2025_refrigerator_energy_label", source="conj")

How to cite

@article{2025, title={HOUSEHOLD PREFERENCES TOWARDS ENERGY LABELS IN MALAYSIA: A PATHWAY TO SUSTAINABILITY}, volume={20}, ISSN={2672-7226}, url={http://dx.doi.org/10.46754/jssm.2025.01.001}, DOI={10.46754/jssm.2025.01.001}, number={1}, journal={JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT}, publisher={Penerbit UMT, Universiti Malaysia Terengganu}, author={ and KAMALUDIN, MAHIRAH and SHAH RAZALI, MUHAMMAD AZRIN and HARON, NAZATUL FAIZAH and ABD AZIZ, AZLINA and SAMDIN, ZAITON and }, year={2025}, month=Jan, pages={1–22} }

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