kuczyk_2024_facemask_fbe

3,798 responses from 142 respondents to 27 items.

One of 2 tables from the same source; this one is the fbe table. The others are listed under Related tables.

About this table

Description27-item scale (5-pt agreement) on expectations/experiences with wearing face masks in German inpatient/day hospitals
ReferenceKuczyk C, Muench K, Noehre M, et al. (2024) Development and testing of a questionnaire on the expectations and experiences with wearing face masks in inpatient and day hospitals. PLoS ONE.
DOI10.1371/journal.pone.0304140
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0304140.s006

Size and shape

Responses3,798
Respondents142
Items27
Response categories5
Responses per respondent26.746
Responses per item140.667
Density0.991
LongitudinalFALSE

Classification

sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentQuestionnaire on expectations and experiences with wearing face masks, post-version (experiences)
Mean words per item1
Mean characters per item2
Mean characters per response15
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kuczyk_2024_facemask.py. 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).made in the build script
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 questionnaire, S1_Table.tif, which shows the item wording.

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("kuczyk_2024_facemask_fbe")
# Python
pip install irw

import irw
df = irw.fetch("kuczyk_2024_facemask_fbe")

How to cite

@article{Kuczyk_2024, title={Development and testing of a questionnaire on the expectations and experiences with wearing face masks in inpatient and day hospitals}, volume={19}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0304140}, DOI={10.1371/journal.pone.0304140}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Kuczyk, Charlotte and Münch, Kathrin and Nöhre, Mariel and Stephan, Michael and de Zwaan, Martina}, editor={Doering, Stephan}, year={2024}, month=May, pages={e0304140} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0