oluocharidi_2020_nairobi

13,472 rated or chosen profiles from 421 respondents, in up to 16 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionDiscrete choice experiment: 421 women who had recently delivered, in a peri-urban area of Nairobi (Kenya), chose between two hypothetical delivery health facilities (clinical quality, cleanliness, health-worker attitude, equipment and supplies, distance, cost) or neither (home delivery); 16 tasks each.
ReferenceOluoch-Aridi, J., Adam, M. B., Wafula, F., & Kokwaro, G. (2020). Eliciting women's preferences for place of child birth at a peri-urban setting in Nairobi, Kenya: A discrete choice experiment. PLOS ONE, 15(12), e0242149.
DOI10.1371/journal.pone.0242149
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.11933568

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

Respondents421
Rows (one per respondent, task and profile)13,472
Tasks per respondent (most)16
Profiles per task2
Attributes6
Tasks with no profile chosen252

Design

Topichealth covid
A profile representsplace
CountryKE
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWomen imagined they were expecting a baby and chose between health facility A and health facility B for delivery, or neither (home delivery) (paraphrase) [choice, opt-out allowed]

Columns

attr_attitudeattr_cleanlinessattr_costattr_distanceattr_equipmentattr_qualitychoicecov_agecov_schooling_codeidprofiletasktrial_block

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("oluocharidi_2020_nairobi", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("oluocharidi_2020_nairobi", source="conj")

How to cite

@article{Oluoch_Aridi_2020, title={Eliciting women’s preferences for place of child birth at a peri-urban setting in Nairobi, Kenya: A discrete choice experiment}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0242149}, DOI={10.1371/journal.pone.0242149}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Oluoch-Aridi, Jackline and Adam, Mary B. and Wafula, Francis and K’okwaro, Gilbert}, editor={Doherty, Tanya}, year={2020}, month=Dec, pages={e0242149} }

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