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

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("Adherence_Zissette_2018_SDB")
# Python
pip install irw

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

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