etensa_2026_enset_varieties

9,360 rated or chosen profiles from 520 respondents, in up to 6 tasks of 3 profiles varying on 6 attributes.

About this table

DescriptionChoice experiment with 520 enset-growing households in Oromia and Central Ethiopia choosing among two improved enset varieties and a current variety (shown with its own levels) described by EBW, maturity, recurrent, yield, sequestration and price. 6 sets each, forced choice. Level text is the stored numeric level (units not documented).
ReferenceEtensa, T., Alemu, T., & Yayo, M. (2026). ChoiceTE [Data set]. Mendeley Data.
LicenceCC BY 4.0
Source datahttps://doi.org/10.17632/yy3s5fdrxc

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

Respondents520
Rows (one per respondent, task and profile)9,360
Tasks per respondent (most)6
Profiles per task3
Attributes6
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representsproduct service
CountryET
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the three alternatives do you choose? (paraphrase; survey wording not in the deposit) [choice, forced]

Columns

attr_ebwattr_maturityattr_priceattr_recurrentattr_sequestrationattr_yieldchoicecov_extension_servicecov_family_sizecov_kebele_codecov_market_accessidprofiletask

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("etensa_2026_enset_varieties", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("etensa_2026_enset_varieties", source="conj")

How to cite

@misc{https://doi.org/10.17632/yy3s5fdrxc,
  doi = {10.17632/YY3S5FDRXC},
  url = {https://data.mendeley.com/datasets/yy3s5fdrxc},
  author = {Etensa, Tesfaye and Alemu, Tekie and Yayo, Mengesha},
  keywords = {Survey Research},
  title = {ChoiceTE},
  publisher = {Mendeley Data},
  year = {2026}
}

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