9,976 rated or chosen profiles from 416 respondents, in up to 12 tasks of 2 profiles varying on 5 attributes.
One of 3 tables from the same source; this one is the nigeria_s2 table. The others are listed under Related tables.
| Description | Women of reproductive age in Ibadan, Nigeria (sample 2) (n = 416; 2017-2018, interviewer-administered on a tablet) chose between two options of a hypothetical contraceptive microarray patch in 12 discrete-choice tasks, options described by 5 attributes (pain, skin reaction, location, size, duration of protection) with illustrations; level text in Yoruba. |
|---|---|
| Reference | FHI 360. (2020). Discreet choice experiment survey for development of a contraceptive microarray patch in India and Nigeria (FHI360 2017-2018) [Data set]. Harvard Dataverse. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/TOSSWN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 416 |
|---|---|
| Rows (one per respondent, task and profile) | 9,976 |
| Tasks per respondent (most) | 12 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | NG |
| Language shown | yo |
| Language of stored levels | yo |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Look carefully at the features of the two method options. Which of these methods do you prefer? (translated) [choice, forced] |
|---|
attr_durationattr_locationattr_painattr_sizeattr_skin_reactionchoiceidprofiletask
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("fhi360_2020_mnp_nigeria_s2", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("fhi360_2020_mnp_nigeria_s2", source="conj")
@misc{https://doi.org/10.7910/dvn/tosswn,
doi = {10.7910/DVN/TOSSWN},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TOSSWN},
author = {{FHI 360}},
keywords = {Medicine, Health and Life Sciences, DCE, choice, preference, contraception, microarray patch, India, Nigeria},
title = {Discreet Choice Experiment Survey for Development of a Contraceptive Microarray Patch in India and Nigeria (FHI360 2017-2018)},
publisher = {Harvard Dataverse},
year = {2020}
}
| 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 |