esiason_2024_cfq

720 responses from 57 respondents to 13 items.

One of 7 tables from the same source; this one is the cfq table. The others are listed under Related tables.

About this table

Description13-item Cognitive Fusion Questionnaire item pool- NMOSD patients and caregivers combined
ReferenceEsiason DC, Ciesinski N, Nurse CN, Erler W, Hattrich T, Deshpande A, O'Hayer CV (2024). The psychological burden of NMOSD – a mixed method study of patients and caregivers. PLOS ONE, 19(3), e0300777. https://doi.org/10.1371/journal.pone.0300777
DOI10.1371/journal.pone.0300777
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0300777.s001

Size and shape

Responses720
Respondents57
Items13
Response categories7
Responses per respondent12.632
Responses per item55.385
Density0.972
LongitudinalFALSE

Classification

sampleClinical, Internet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentCognitive Fusion Questionnaire (CFQ13)
Mean words per item12.846
Mean characters per item66.615
Mean characters per response13.571
Flesch-Kincaid grade level5.815

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, esiason_2024_nmosd.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).record_id
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_groupCovariate 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("esiason_2024_cfq")
# Python
pip install irw

import irw
df = irw.fetch("esiason_2024_cfq")

How to cite

@article{Esiason_2024, title={The psychological burden of NMOSD – a mixed method study of patients and caregivers}, volume={19}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0300777}, DOI={10.1371/journal.pone.0300777}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Esiason, Darcy C. and Ciesinski, Nicole and Nurse, Chelsi N. and Erler, Wendy and Hattrich, Tom and Deshpande, Ankita and Virginia O’Hayer, C.}, editor={Juárez-Cedillo, Teresa}, year={2024}, month=Mar, pages={e0300777} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0