Adherence_Zissette_2018_SDB

18,409 responses from 709 respondents to 26 items.

About this table

DescriptionSocial desirability bias
ReferenceZissette, Seth, 2018, "Development and Pyschometric Validation of Measures for Vaginal Ring Adherence Survey", https://doi.org/10.7910/DVN/5W9HXM, Harvard Dataverse, V1, UNF:6:mDWjaac6I49x5MDOEq2dDw== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/5W9HXM

Size and shape

Responses18,409
Respondents709
Items26
Response categories6
Responses per respondent25.965
Responses per item708.038
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical, Targeted/specific
construct typePhysical health/functioning
measurement toolSurvey/questionnaire
item formatMixed
primary language(s)eng
construct nameDevelopment and Pyschometric Validation of Measures for Vaginal Ring Adherence Survey

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentSocial desirability items (Marlowe-Crowne derived) embedded in the DOMA Screener Form, IRBnet #744987 Final Structured Survey
Mean words per item11.192
Mean characters per item59.346
Mean characters per response14.500
Flesch-Kincaid grade level5.239

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, Adherence_Zissette_2018.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).KEY
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s codebook, Adherence_Measurement_ARV_Rings_Psychometrics Codebook.pdf.

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("Adherence_Zissette_2018_SDB")
# Python
pip install irw

import irw
df = irw.fetch("Adherence_Zissette_2018_SDB")

How to cite

@misc{https://doi.org/10.7910/dvn/5w9hxm,
  doi = {10.7910/DVN/5W9HXM},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/5W9HXM},
  author = {Zissette, Seth},
  keywords = {Medicine, Health and Life Sciences, Social Sciences},
  title = {Development and Pyschometric Validation of Measures for Vaginal Ring Adherence Survey},
  publisher = {Harvard Dataverse},
  year = {2018}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0