2,555 responses from 365 respondents to 7 items.
| Description | Cognitive Fusion Questionnaire-7 (CFQ-7, the paper's focal instrument), clinical + non-clinical Italian samples pooled, N=365 |
|---|---|
| Reference | Donati 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 |
| DOI | 10.1371/journal.pone.0246434 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0246434.s003 |
| Responses | 2,555 |
|---|---|
| Respondents | 365 |
| Items | 7 |
| Response categories | 7 |
| Responses per respondent | 7 |
| Responses per item | 365 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Clinical, Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Cognitive Fusion Questionnaire-7 (CFQ-7), Italian version |
|---|---|
| Mean words per item | 12 |
| Mean characters per item | 60.714 |
| Mean characters per response | 15.857 |
| Flesch-Kincaid grade level | 4.972 |
cov_populationiditemresp
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |