fhi360_2020_mnp_india

9,892 rated or chosen profiles from 496 respondents, in up to 10 tasks of 2 profiles varying on 6 attributes.

One of 3 tables from the same source; this one is the india table. The others are listed under Related tables.

About this table

DescriptionWomen of reproductive age in New Delhi, India (n = 496; 2017-2018, interviewer-administered on a tablet) chose between two options of a hypothetical contraceptive microarray patch in 10 discrete-choice tasks, options described by 6 attributes (pain, skin reaction, location, size, duration of protection, effect on menstruation) with illustrations; level text in Hindi.
ReferenceFHI 360. (2020). Discreet choice experiment survey for development of a contraceptive microarray patch in India and Nigeria (FHI360 2017-2018) [Data set]. Harvard Dataverse.
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/TOSSWN

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

Respondents496
Rows (one per respondent, task and profile)9,892
Tasks per respondent (most)10
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topichealth covid
A profile representsproduct service
CountryIN
Language shownhi
Language of stored levelshi
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceLook carefully at the features of the two method options. Which of these methods do you prefer? (translated) [choice, forced]

Columns

attr_durationattr_locationattr_menstruationattr_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.

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("fhi360_2020_mnp_india", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("fhi360_2020_mnp_india", source="conj")

How to cite

@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}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0