donati_2021_cfq7

2,555 responses from 365 respondents to 7 items.

About this table

DescriptionCognitive Fusion Questionnaire-7 (CFQ-7, the paper's focal instrument), clinical + non-clinical Italian samples pooled, N=365
ReferenceDonati MA, Berrocal C, Bernini O, Gori C, Primi C (2021). Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples. PLOS ONE, 16(2), e0246434. https://doi.org/10.1371/journal.pone.0246434
DOI10.1371/journal.pone.0246434
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0246434.s003

Size and shape

Responses2,555
Respondents365
Items7
Response categories7
Responses per respondent7
Responses per item365
Density1
LongitudinalFALSE

Classification

sampleClinical, Educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita

Item text

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

InstrumentCognitive Fusion Questionnaire-7 (CFQ-7), Italian version
Mean words per item12
Mean characters per item60.714
Mean characters per response15.857
Flesch-Kincaid grade level4.972

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, donati_2021_cfq7.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
Respondent covariates
cov_populationCovariate made in the build script

What item codes and covariate values stand for is in the source’s questionnaire, S1_Appendix.docx, 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("donati_2021_cfq7")
# Python
pip install irw

import irw
df = irw.fetch("donati_2021_cfq7")

How to cite

@article{Donati_2021, title={Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0246434}, DOI={10.1371/journal.pone.0246434}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Donati, Maria Anna and Berrocal, Carmen and Bernini, Olivia and Gori, Costanza and Primi, Caterina}, editor={Christensen, Karl Bang}, year={2021}, month=Feb, pages={e0246434} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0