PrEPAdherence_Zissette_2021

18,988 responses from 193 respondents to 99 items.

About this table

DescriptionScale for monitoring oral PrEP adherence
ReferenceZissette, Seth; Tolley, Elizabeth E.; Martinez, Andres; Hanif, Homaira; Gill, Katherine; Mugo, Nelly; Myers, Laura; Casmir, Ednar; Duyver, Menna; Ngure, Kenneth; Doncel, Gustavo F., 2021, "Replication Data for: Adaptation and validation of simple tools to screen and monitor for oral PrEP adherence", https://doi.org/10.7910/DVN/NI4ZQA, Harvard Dataverse, V1, UNF:6:2M6Nw2BgCJ2vhU+jLH5ZtA== [fileUNF] Zissette, S., Tolley, E. E., Martinez, A., Hanif, H., Gill, K., Mugo, N., ... & Doncel, G. F. (2021). Adaptation and validation of simple tools to screen and monitor for oral PrEP adherence. Plos one, 16(5), e0251823.
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NI4ZQA

Size and shape

Responses18,988
Respondents193
Items99
Response categories6
Responses per respondent98.383
Responses per item191.798
Density0.994
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical, Targeted/specific
construct typePhysical health/functioning
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)afr, eng
construct nameReplication Data for: Adaptation and validation of simple tools to screen and monitor for oral PrEP adherence

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("PrEPAdherence_Zissette_2021")
# Python
pip install irw

import irw
df = irw.fetch("PrEPAdherence_Zissette_2021")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0