Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples.
Maria Anna Donati, Carmen Berrocal, Olivia Bernini and 2 more
PLoS ONE · 2021
doi:10.1371/journal.pone.0246434 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Cognitive fusion (CF) occurs when people are entangled in their private experiences. Rigid patterns of CF are a risk factor for various forms of psychopathology. The most widely used self-report instrument for assessing CF is the Cognitive Fusion Questionnaire–7 (CFQ-7), a unidimensional scale with good reliability and validity. However, its psychometric properties have been studied mainly in non-clinical samples and by applying Classical Test Theory. The goal of this study was to use Item Response Theory to investigate the adequacy of the scale in a non-clinical sample and to test measurement invariance across non-clinical and clinical psychological samples. The non-clinical sample consisted of 258 undergraduate students (68.2% females, Mage = 24.3), while the clinical sample consisted of 105 undergraduate students with psychological distress (60.7% females, Mage = 23.8). The results showed that CFQ-7 assesses a wide range of CF severity among non-clinical subjects and that it is useful to discriminate different levels of CF. Moreover, the results showed the scale was sufficiently informative for a broad range of the trait. The relationships of CFQ-7 scores with theoretically related constructs provided further support to the validity of the scale. The Differential Item Functioning analysis showed that CFQ-7 is invariant across different types of population. Overall, findings in this study provide support for the adequacy of the CFQ-7 both in non-clinical and clinical contexts.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.