14,912 rated or chosen profiles from 466 respondents, in up to 16 tasks of 2 profiles varying on 6 attributes.
| Description | Women who had recently given birth in Naivasha Sub-County, Kenya (466 respondents, enumerator-administered) chose between two hypothetical delivery facilities varying quality of care, staff attitude, cost, equipment, distance and referral services, or home delivery (opt-out), in 16 choice sets. |
|---|---|
| Reference | Oluoch-Aridi, J., Adam, M. B., Wafula, F., & Kokwaro, G. (2020). Understanding what women want: Eliciting preference for delivery health facility in a rural subcounty in Kenya, a discrete choice experiment. BMJ Open, 10(12), e038865. |
| DOI | 10.1136/bmjopen-2020-038865 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.5281/zenodo.4268587 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 466 |
|---|---|
| Rows (one per respondent, task and profile) | 14,912 |
| Tasks per respondent (most) | 16 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 794 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | KE |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): Fixed blocked D-efficient fractional design (Ngene, 2 blocks of 8 sets; article); only the design's profiles occur, with 2-3 design versions per choice-set slot in the deposit. |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| choice | You will be provided with a script on a mobile phone and you will be asked to imagine that you are pregnant and you are given a choice between the two health facilities to deliver your baby. Which one would you prefer? Facility A or facility B? You also have the option of choosing none of the two health facilities as option C. [choice, opt-out allowed] |
|---|
attr_attitudeattr_costattr_distanceattr_equipmentattr_qualityattr_referralchoicecov_birthplace_facilitycov_head_of_householdcov_hoh_career_codecov_influence_hohcov_insurancecov_main_earnercov_marriedcov_moved_when_codecov_pregnancies_codecov_residence_codecov_schooling_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("oluocharidi_2020_delivery_facility", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("oluocharidi_2020_delivery_facility", source="conj")
@article{Oluoch_Aridi_2020, title={Understanding what women want: eliciting preference for delivery health facility in a rural subcounty in Kenya, a discrete choice experiment}, volume={10}, ISSN={2044-6055}, url={http://dx.doi.org/10.1136/bmjopen-2020-038865}, DOI={10.1136/bmjopen-2020-038865}, number={12}, journal={BMJ Open}, publisher={BMJ}, author={Oluoch-Aridi, Jackline and Adam, Mary B and Wafula, Francis and Kokwaro, Gilbert}, year={2020}, month=Dec, pages={e038865} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |