FGSIS_Berzeviczy_2018

1,693 responses from 170 respondents to 10 items.

About this table

DescriptionFemale genital self-image
LicenceCC BY 4.0
Source datahttps://osf.io/7mgxk/

Size and shape

Responses1,693
Respondents170
Items10
Response categories5
Responses per respondent9.959
Responses per item169.300
Density0.996
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeAffective/mental health, Opinion/attitude
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameAssessing the validity and reliability of Female Genital Self-Image Scale in a UK population of healthy women over twenty

Item text

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

InstrumentGynaecological exam behaviour questions
Mean words per item8.824
Mean characters per item49.529
Mean characters per response9.500
Flesch-Kincaid grade level7.911

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fgsis_berzeviczy_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).UserID
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 codebook released with the source data.

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("FGSIS_Berzeviczy_2018")
# Python
pip install irw

import irw
df = irw.fetch("FGSIS_Berzeviczy_2018")

How to cite

@article{https://doi.org/10.17605/osf.io/7mgxk,
  doi = {10.17605/OSF.IO/7MGXK},
  url = {https://osf.io/7mgxk/},
  author = {Berzeviczy, Katalin and Branney, Peter},
  title = {Assessing the validity and reliability of Female Genital Self-Image Scale in a UK population of healthy women over twenty},
  publisher = {Open Science Framework},
  year = {2022},
  copyright = {CC-By Attribution 4.0 International}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v40.0