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Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples.

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.

SUBMITTER: Donati MA

PROVIDER: S-EPMC7857615 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples.

Donati Maria Anna MA Berrocal Carmen C Bernini Olivia O Gori Costanza C Primi Caterina C

PloS one 20210203 2

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 Respo ...[more]

PMID: 33534868

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Project description:ObjectiveThe sleep of healthcare students is worth discovering. Mental health and self-rated health are thought to be associated with sleep quality. As such, valid instruments to assess sleep quality in healthcare students are crucial and irreplaceable. This study aimed to investigate the measurement properties of the Sleep Quality Questionnaire (SQQ) for Chinese healthcare students.MethodsTwo longitudinal assessments were undertaken among healthcare students, with a total of 595, between December 2020 and January 2021. Measures include the Chinese version of the SQQ, Patient Health Questionnaire-4 (PHQ-4), Self-Rated Health Questionnaire (SRHQ), and sociodemographic questionnaire. Structural validity through confirmatory factor analysis (CFA) was conducted to examine factor structure of the SQQ. T-tests and ANOVAs were used to examine sociodemographic differences in sleep quality scores. Multi Group CFA and longitudinal CFA were respectively used to assess cross-sectional invariance and longitudinal invariance across two-time interval, i.e., cross-cultural validity. Construct validity, internal consistency, and test-retest reliability were correspondingly examined via Spearman correlation, Cronbach's alpha and McDonald's omega, and intraclass correlation coefficient. Multiple linear regression analysis was performed to examine incremental validity of the SQQ based on the PHQ-4 and SRHQ as indicators of the criterion variables.ResultsCFA results suggested that the two-factor model of the SQQ-9 (item 2 excluded) had the best fit. The SQQ-9 scores differed significantly by age, grade, academic stage, hobby, stress coping strategy, anxiety, depression, and self-rated health subgroups. Measurement invariance was supported in terms of aforesaid subgroups and across two time intervals. In correlation and regression analyses, anxiety, depression, and self-rated health were moderately strong predictors of sleep quality. The SQQ-9 had good internal consistency and test-retest reliability.ConclusionGood measurement properties suggest that the SQQ is a promising and practical measurement instrument for assessing sleep quality of Chinese healthcare students.

Dataset Information

Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples.

Publications

Measuring cognitive fusion through the Cognitive Fusion Questionnaire-7: Measurement invariance across non-clinical and clinical psychological samples.

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