9,360 rated or chosen profiles from 520 respondents, in up to 6 tasks of 3 profiles varying on 6 attributes.
| Description | Choice 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). |
|---|---|
| Reference | Etensa, T., Alemu, T., & Yayo, M. (2026). ChoiceTE [Data set]. Mendeley Data. |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.17632/yy3s5fdrxc |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 520 |
|---|---|
| Rows (one per respondent, task and profile) | 9,360 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 3 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | product service |
| Country | ET |
| 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 | Which of the three alternatives do you choose? (paraphrase; survey wording not in the deposit) [choice, forced] |
|---|
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.
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")
@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}
}
| 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 |